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<!DOCTYPE html>
< html xmlns = "http://www.w3.org/1999/xhtml" lang = "en" xml:lang = "en" > < head >
< meta charset = "utf-8" >
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< meta name = "generator" content = "quarto-1.4.550" >
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< meta name = "viewport" content = "width=device-width, initial-scale=1.0, user-scalable=yes" >
< title > presentation_summary< / title >
< style >
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padding: 0 4px; width: 4em;
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div.sourceCode
{ }
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pre > code.sourceCode > span > a:first-child::before { text-decoration: underline; }
}
< / style >
< script > / * !
* clipboard.js v2.0.11
* https://clipboardjs.com/
*
* Licensed MIT © Zeno Rocha
*/
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< script > c o n s t s e c t i o n C h a n g e d = n e w C u s t o m E v e n t ( " q u a r t o - s e c t i o n C h a n g e d " , {
detail: {},
bubbles: true,
cancelable: false,
composed: false,
});
const layoutMarginEls = () => {
// Find any conflicting margin elements and add margins to the
// top to prevent overlap
const marginChildren = window.document.querySelectorAll(
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".column-margin.column-container > *, .margin-caption, .aside"
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);
let lastBottom = 0;
for (const marginChild of marginChildren) {
if (marginChild.offsetParent !== null) {
// clear the top margin so we recompute it
marginChild.style.marginTop = null;
const top = marginChild.getBoundingClientRect().top + window.scrollY;
if (top < lastBottom ) {
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const marginChildStyle = window.getComputedStyle(marginChild);
const marginBottom = parseFloat(marginChildStyle["marginBottom"]);
const margin = lastBottom - top + marginBottom;
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marginChild.style.marginTop = `${margin}px`;
}
const styles = window.getComputedStyle(marginChild);
const marginTop = parseFloat(styles["marginTop"]);
lastBottom = top + marginChild.getBoundingClientRect().height + marginTop;
}
}
};
window.document.addEventListener("DOMContentLoaded", function (_event) {
// Recompute the position of margin elements anytime the body size changes
if (window.ResizeObserver) {
const resizeObserver = new window.ResizeObserver(
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throttle(() => {
layoutMarginEls();
if (
window.document.body.getBoundingClientRect().width < 990 & &
isReaderMode()
) {
quartoToggleReader();
}
}, 50)
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);
resizeObserver.observe(window.document.body);
}
const tocEl = window.document.querySelector('nav.toc-active[role="doc-toc"]');
const sidebarEl = window.document.getElementById("quarto-sidebar");
const leftTocEl = window.document.getElementById("quarto-sidebar-toc-left");
const marginSidebarEl = window.document.getElementById(
"quarto-margin-sidebar"
);
// function to determine whether the element has a previous sibling that is active
const prevSiblingIsActiveLink = (el) => {
const sibling = el.previousElementSibling;
if (sibling & & sibling.tagName === "A") {
return sibling.classList.contains("active");
} else {
return false;
}
};
// fire slideEnter for bootstrap tab activations (for htmlwidget resize behavior)
function fireSlideEnter(e) {
const event = window.document.createEvent("Event");
event.initEvent("slideenter", true, true);
window.document.dispatchEvent(event);
}
const tabs = window.document.querySelectorAll('a[data-bs-toggle="tab"]');
tabs.forEach((tab) => {
tab.addEventListener("shown.bs.tab", fireSlideEnter);
});
// fire slideEnter for tabby tab activations (for htmlwidget resize behavior)
document.addEventListener("tabby", fireSlideEnter, false);
// Track scrolling and mark TOC links as active
// get table of contents and sidebar (bail if we don't have at least one)
const tocLinks = tocEl
? [...tocEl.querySelectorAll("a[data-scroll-target]")]
: [];
const makeActive = (link) => tocLinks[link].classList.add("active");
const removeActive = (link) => tocLinks[link].classList.remove("active");
const removeAllActive = () =>
[...Array(tocLinks.length).keys()].forEach((link) => removeActive(link));
// activate the anchor for a section associated with this TOC entry
tocLinks.forEach((link) => {
link.addEventListener("click", () => {
if (link.href.indexOf("#") !== -1) {
const anchor = link.href.split("#")[1];
const heading = window.document.querySelector(
`[data-anchor-id=${anchor}]`
);
if (heading) {
// Add the class
heading.classList.add("reveal-anchorjs-link");
// function to show the anchor
const handleMouseout = () => {
heading.classList.remove("reveal-anchorjs-link");
heading.removeEventListener("mouseout", handleMouseout);
};
// add a function to clear the anchor when the user mouses out of it
heading.addEventListener("mouseout", handleMouseout);
}
}
});
});
const sections = tocLinks.map((link) => {
const target = link.getAttribute("data-scroll-target");
if (target.startsWith("#")) {
return window.document.getElementById(decodeURI(`${target.slice(1)}`));
} else {
return window.document.querySelector(decodeURI(`${target}`));
}
});
const sectionMargin = 200;
let currentActive = 0;
// track whether we've initialized state the first time
let init = false;
const updateActiveLink = () => {
// The index from bottom to top (e.g. reversed list)
let sectionIndex = -1;
if (
window.innerHeight + window.pageYOffset >=
window.document.body.offsetHeight
) {
sectionIndex = 0;
} else {
sectionIndex = [...sections].reverse().findIndex((section) => {
if (section) {
return window.pageYOffset >= section.offsetTop - sectionMargin;
} else {
return false;
}
});
}
if (sectionIndex > -1) {
const current = sections.length - sectionIndex - 1;
if (current !== currentActive) {
removeAllActive();
currentActive = current;
makeActive(current);
if (init) {
window.dispatchEvent(sectionChanged);
}
init = true;
}
}
};
const inHiddenRegion = (top, bottom, hiddenRegions) => {
for (const region of hiddenRegions) {
if (top < = region.bottom & & bottom >= region.top) {
return true;
}
}
return false;
};
const categorySelector = "header.quarto-title-block .quarto-category";
const activateCategories = (href) => {
// Find any categories
// Surround them with a link pointing back to:
// #category=Authoring
try {
const categoryEls = window.document.querySelectorAll(categorySelector);
for (const categoryEl of categoryEls) {
const categoryText = categoryEl.textContent;
if (categoryText) {
const link = `${href}#category=${encodeURIComponent(categoryText)}`;
const linkEl = window.document.createElement("a");
linkEl.setAttribute("href", link);
for (const child of categoryEl.childNodes) {
linkEl.append(child);
}
categoryEl.appendChild(linkEl);
}
}
} catch {
// Ignore errors
}
};
function hasTitleCategories() {
return window.document.querySelector(categorySelector) !== null;
}
function offsetRelativeUrl(url) {
const offset = getMeta("quarto:offset");
return offset ? offset + url : url;
}
function offsetAbsoluteUrl(url) {
const offset = getMeta("quarto:offset");
const baseUrl = new URL(offset, window.location);
const projRelativeUrl = url.replace(baseUrl, "");
if (projRelativeUrl.startsWith("/")) {
return projRelativeUrl;
} else {
return "/" + projRelativeUrl;
}
}
// read a meta tag value
function getMeta(metaName) {
const metas = window.document.getElementsByTagName("meta");
for (let i = 0; i < metas.length ; i + + ) {
if (metas[i].getAttribute("name") === metaName) {
return metas[i].getAttribute("content");
}
}
return "";
}
async function findAndActivateCategories() {
const currentPagePath = offsetAbsoluteUrl(window.location.href);
const response = await fetch(offsetRelativeUrl("listings.json"));
if (response.status == 200) {
return response.json().then(function (listingPaths) {
const listingHrefs = [];
for (const listingPath of listingPaths) {
const pathWithoutLeadingSlash = listingPath.listing.substring(1);
for (const item of listingPath.items) {
if (
item === currentPagePath ||
item === currentPagePath + "index.html"
) {
// Resolve this path against the offset to be sure
// we already are using the correct path to the listing
// (this adjusts the listing urls to be rooted against
// whatever root the page is actually running against)
const relative = offsetRelativeUrl(pathWithoutLeadingSlash);
const baseUrl = window.location;
const resolvedPath = new URL(relative, baseUrl);
listingHrefs.push(resolvedPath.pathname);
break;
}
}
}
// Look up the tree for a nearby linting and use that if we find one
const nearestListing = findNearestParentListing(
offsetAbsoluteUrl(window.location.pathname),
listingHrefs
);
if (nearestListing) {
activateCategories(nearestListing);
} else {
// See if the referrer is a listing page for this item
const referredRelativePath = offsetAbsoluteUrl(document.referrer);
const referrerListing = listingHrefs.find((listingHref) => {
const isListingReferrer =
listingHref === referredRelativePath ||
listingHref === referredRelativePath + "index.html";
return isListingReferrer;
});
if (referrerListing) {
// Try to use the referrer if possible
activateCategories(referrerListing);
} else if (listingHrefs.length > 0) {
// Otherwise, just fall back to the first listing
activateCategories(listingHrefs[0]);
}
}
});
}
}
if (hasTitleCategories()) {
findAndActivateCategories();
}
const findNearestParentListing = (href, listingHrefs) => {
if (!href || !listingHrefs) {
return undefined;
}
// Look up the tree for a nearby linting and use that if we find one
const relativeParts = href.substring(1).split("/");
while (relativeParts.length > 0) {
const path = relativeParts.join("/");
for (const listingHref of listingHrefs) {
if (listingHref.startsWith(path)) {
return listingHref;
}
}
relativeParts.pop();
}
return undefined;
};
const manageSidebarVisiblity = (el, placeholderDescriptor) => {
let isVisible = true;
let elRect;
return (hiddenRegions) => {
if (el === null) {
return;
}
// Find the last element of the TOC
const lastChildEl = el.lastElementChild;
if (lastChildEl) {
// Converts the sidebar to a menu
const convertToMenu = () => {
for (const child of el.children) {
child.style.opacity = 0;
child.style.overflow = "hidden";
}
nexttick(() => {
const toggleContainer = window.document.createElement("div");
toggleContainer.style.width = "100%";
toggleContainer.classList.add("zindex-over-content");
toggleContainer.classList.add("quarto-sidebar-toggle");
toggleContainer.classList.add("headroom-target"); // Marks this to be managed by headeroom
toggleContainer.id = placeholderDescriptor.id;
toggleContainer.style.position = "fixed";
const toggleIcon = window.document.createElement("i");
toggleIcon.classList.add("quarto-sidebar-toggle-icon");
toggleIcon.classList.add("bi");
toggleIcon.classList.add("bi-caret-down-fill");
const toggleTitle = window.document.createElement("div");
const titleEl = window.document.body.querySelector(
placeholderDescriptor.titleSelector
);
if (titleEl) {
toggleTitle.append(
titleEl.textContent || titleEl.innerText,
toggleIcon
);
}
toggleTitle.classList.add("zindex-over-content");
toggleTitle.classList.add("quarto-sidebar-toggle-title");
toggleContainer.append(toggleTitle);
const toggleContents = window.document.createElement("div");
toggleContents.classList = el.classList;
toggleContents.classList.add("zindex-over-content");
toggleContents.classList.add("quarto-sidebar-toggle-contents");
for (const child of el.children) {
if (child.id === "toc-title") {
continue;
}
const clone = child.cloneNode(true);
clone.style.opacity = 1;
clone.style.display = null;
toggleContents.append(clone);
}
toggleContents.style.height = "0px";
const positionToggle = () => {
// position the element (top left of parent, same width as parent)
if (!elRect) {
elRect = el.getBoundingClientRect();
}
toggleContainer.style.left = `${elRect.left}px`;
toggleContainer.style.top = `${elRect.top}px`;
toggleContainer.style.width = `${elRect.width}px`;
};
positionToggle();
toggleContainer.append(toggleContents);
el.parentElement.prepend(toggleContainer);
// Process clicks
let tocShowing = false;
// Allow the caller to control whether this is dismissed
// when it is clicked (e.g. sidebar navigation supports
// opening and closing the nav tree, so don't dismiss on click)
const clickEl = placeholderDescriptor.dismissOnClick
? toggleContainer
: toggleTitle;
const closeToggle = () => {
if (tocShowing) {
toggleContainer.classList.remove("expanded");
toggleContents.style.height = "0px";
tocShowing = false;
}
};
// Get rid of any expanded toggle if the user scrolls
window.document.addEventListener(
"scroll",
throttle(() => {
closeToggle();
}, 50)
);
// Handle positioning of the toggle
window.addEventListener(
"resize",
throttle(() => {
elRect = undefined;
positionToggle();
}, 50)
);
window.addEventListener("quarto-hrChanged", () => {
elRect = undefined;
});
// Process the click
clickEl.onclick = () => {
if (!tocShowing) {
toggleContainer.classList.add("expanded");
toggleContents.style.height = null;
tocShowing = true;
} else {
closeToggle();
}
};
});
};
// Converts a sidebar from a menu back to a sidebar
const convertToSidebar = () => {
for (const child of el.children) {
child.style.opacity = 1;
child.style.overflow = null;
}
const placeholderEl = window.document.getElementById(
placeholderDescriptor.id
);
if (placeholderEl) {
placeholderEl.remove();
}
el.classList.remove("rollup");
};
if (isReaderMode()) {
convertToMenu();
isVisible = false;
} else {
// Find the top and bottom o the element that is being managed
const elTop = el.offsetTop;
const elBottom =
elTop + lastChildEl.offsetTop + lastChildEl.offsetHeight;
if (!isVisible) {
// If the element is current not visible reveal if there are
// no conflicts with overlay regions
if (!inHiddenRegion(elTop, elBottom, hiddenRegions)) {
convertToSidebar();
isVisible = true;
}
} else {
// If the element is visible, hide it if it conflicts with overlay regions
// and insert a placeholder toggle (or if we're in reader mode)
if (inHiddenRegion(elTop, elBottom, hiddenRegions)) {
convertToMenu();
isVisible = false;
}
}
}
}
};
};
const tabEls = document.querySelectorAll('a[data-bs-toggle="tab"]');
for (const tabEl of tabEls) {
const id = tabEl.getAttribute("data-bs-target");
if (id) {
const columnEl = document.querySelector(
`${id} .column-margin, .tabset-margin-content`
);
if (columnEl)
tabEl.addEventListener("shown.bs.tab", function (event) {
const el = event.srcElement;
if (el) {
const visibleCls = `${el.id}-margin-content`;
// walk up until we find a parent tabset
let panelTabsetEl = el.parentElement;
while (panelTabsetEl) {
if (panelTabsetEl.classList.contains("panel-tabset")) {
break;
}
panelTabsetEl = panelTabsetEl.parentElement;
}
if (panelTabsetEl) {
const prevSib = panelTabsetEl.previousElementSibling;
if (
prevSib & &
prevSib.classList.contains("tabset-margin-container")
) {
const childNodes = prevSib.querySelectorAll(
".tabset-margin-content"
);
for (const childEl of childNodes) {
if (childEl.classList.contains(visibleCls)) {
childEl.classList.remove("collapse");
} else {
childEl.classList.add("collapse");
}
}
}
}
}
layoutMarginEls();
});
}
}
// Manage the visibility of the toc and the sidebar
const marginScrollVisibility = manageSidebarVisiblity(marginSidebarEl, {
id: "quarto-toc-toggle",
titleSelector: "#toc-title",
dismissOnClick: true,
});
const sidebarScrollVisiblity = manageSidebarVisiblity(sidebarEl, {
id: "quarto-sidebarnav-toggle",
titleSelector: ".title",
dismissOnClick: false,
});
let tocLeftScrollVisibility;
if (leftTocEl) {
tocLeftScrollVisibility = manageSidebarVisiblity(leftTocEl, {
id: "quarto-lefttoc-toggle",
titleSelector: "#toc-title",
dismissOnClick: true,
});
}
// Find the first element that uses formatting in special columns
const conflictingEls = window.document.body.querySelectorAll(
'[class^="column-"], [class*=" column-"], aside, [class*="margin-caption"], [class*=" margin-caption"], [class*="margin-ref"], [class*=" margin-ref"]'
);
// Filter all the possibly conflicting elements into ones
// the do conflict on the left or ride side
const arrConflictingEls = Array.from(conflictingEls);
const leftSideConflictEls = arrConflictingEls.filter((el) => {
if (el.tagName === "ASIDE") {
return false;
}
return Array.from(el.classList).find((className) => {
return (
className !== "column-body" & &
className.startsWith("column-") & &
!className.endsWith("right") & &
!className.endsWith("container") & &
className !== "column-margin"
);
});
});
const rightSideConflictEls = arrConflictingEls.filter((el) => {
if (el.tagName === "ASIDE") {
return true;
}
const hasMarginCaption = Array.from(el.classList).find((className) => {
return className == "margin-caption";
});
if (hasMarginCaption) {
return true;
}
return Array.from(el.classList).find((className) => {
return (
className !== "column-body" & &
!className.endsWith("container") & &
className.startsWith("column-") & &
!className.endsWith("left")
);
});
});
const kOverlapPaddingSize = 10;
function toRegions(els) {
return els.map((el) => {
const boundRect = el.getBoundingClientRect();
const top =
boundRect.top +
document.documentElement.scrollTop -
kOverlapPaddingSize;
return {
top,
bottom: top + el.scrollHeight + 2 * kOverlapPaddingSize,
};
});
}
let hasObserved = false;
const visibleItemObserver = (els) => {
let visibleElements = [...els];
const intersectionObserver = new IntersectionObserver(
(entries, _observer) => {
entries.forEach((entry) => {
if (entry.isIntersecting) {
if (visibleElements.indexOf(entry.target) === -1) {
visibleElements.push(entry.target);
}
} else {
visibleElements = visibleElements.filter((visibleEntry) => {
return visibleEntry !== entry;
});
}
});
if (!hasObserved) {
hideOverlappedSidebars();
}
hasObserved = true;
},
{}
);
els.forEach((el) => {
intersectionObserver.observe(el);
});
return {
getVisibleEntries: () => {
return visibleElements;
},
};
};
const rightElementObserver = visibleItemObserver(rightSideConflictEls);
const leftElementObserver = visibleItemObserver(leftSideConflictEls);
const hideOverlappedSidebars = () => {
marginScrollVisibility(toRegions(rightElementObserver.getVisibleEntries()));
sidebarScrollVisiblity(toRegions(leftElementObserver.getVisibleEntries()));
if (tocLeftScrollVisibility) {
tocLeftScrollVisibility(
toRegions(leftElementObserver.getVisibleEntries())
);
}
};
window.quartoToggleReader = () => {
// Applies a slow class (or removes it)
// to update the transition speed
const slowTransition = (slow) => {
const manageTransition = (id, slow) => {
const el = document.getElementById(id);
if (el) {
if (slow) {
el.classList.add("slow");
} else {
el.classList.remove("slow");
}
}
};
manageTransition("TOC", slow);
manageTransition("quarto-sidebar", slow);
};
const readerMode = !isReaderMode();
setReaderModeValue(readerMode);
// If we're entering reader mode, slow the transition
if (readerMode) {
slowTransition(readerMode);
}
highlightReaderToggle(readerMode);
hideOverlappedSidebars();
// If we're exiting reader mode, restore the non-slow transition
if (!readerMode) {
slowTransition(!readerMode);
}
};
const highlightReaderToggle = (readerMode) => {
const els = document.querySelectorAll(".quarto-reader-toggle");
if (els) {
els.forEach((el) => {
if (readerMode) {
el.classList.add("reader");
} else {
el.classList.remove("reader");
}
});
}
};
const setReaderModeValue = (val) => {
if (window.location.protocol !== "file:") {
window.localStorage.setItem("quarto-reader-mode", val);
} else {
localReaderMode = val;
}
};
const isReaderMode = () => {
if (window.location.protocol !== "file:") {
return window.localStorage.getItem("quarto-reader-mode") === "true";
} else {
return localReaderMode;
}
};
let localReaderMode = null;
const tocOpenDepthStr = tocEl?.getAttribute("data-toc-expanded");
const tocOpenDepth = tocOpenDepthStr ? Number(tocOpenDepthStr) : 1;
// Walk the TOC and collapse/expand nodes
// Nodes are expanded if:
// - they are top level
// - they have children that are 'active' links
// - they are directly below an link that is 'active'
const walk = (el, depth) => {
// Tick depth when we enter a UL
if (el.tagName === "UL") {
depth = depth + 1;
}
// It this is active link
let isActiveNode = false;
if (el.tagName === "A" & & el.classList.contains("active")) {
isActiveNode = true;
}
// See if there is an active child to this element
let hasActiveChild = false;
for (child of el.children) {
hasActiveChild = walk(child, depth) || hasActiveChild;
}
// Process the collapse state if this is an UL
if (el.tagName === "UL") {
if (tocOpenDepth === -1 & & depth > 1) {
el.classList.add("collapse");
} else if (
depth < = tocOpenDepth ||
hasActiveChild ||
prevSiblingIsActiveLink(el)
) {
el.classList.remove("collapse");
} else {
el.classList.add("collapse");
}
// untick depth when we leave a UL
depth = depth - 1;
}
return hasActiveChild || isActiveNode;
};
// walk the TOC and expand / collapse any items that should be shown
if (tocEl) {
walk(tocEl, 0);
updateActiveLink();
}
// Throttle the scroll event and walk peridiocally
window.document.addEventListener(
"scroll",
throttle(() => {
if (tocEl) {
updateActiveLink();
walk(tocEl, 0);
}
if (!isReaderMode()) {
hideOverlappedSidebars();
}
}, 5)
);
window.addEventListener(
"resize",
throttle(() => {
if (!isReaderMode()) {
hideOverlappedSidebars();
}
}, 10)
);
hideOverlappedSidebars();
highlightReaderToggle(isReaderMode());
});
// grouped tabsets
window.addEventListener("pageshow", (_event) => {
function getTabSettings() {
const data = localStorage.getItem("quarto-persistent-tabsets-data");
if (!data) {
localStorage.setItem("quarto-persistent-tabsets-data", "{}");
return {};
}
if (data) {
return JSON.parse(data);
}
}
function setTabSettings(data) {
localStorage.setItem(
"quarto-persistent-tabsets-data",
JSON.stringify(data)
);
}
function setTabState(groupName, groupValue) {
const data = getTabSettings();
data[groupName] = groupValue;
setTabSettings(data);
}
function toggleTab(tab, active) {
const tabPanelId = tab.getAttribute("aria-controls");
const tabPanel = document.getElementById(tabPanelId);
if (active) {
tab.classList.add("active");
tabPanel.classList.add("active");
} else {
tab.classList.remove("active");
tabPanel.classList.remove("active");
}
}
function toggleAll(selectedGroup, selectorsToSync) {
for (const [thisGroup, tabs] of Object.entries(selectorsToSync)) {
const active = selectedGroup === thisGroup;
for (const tab of tabs) {
toggleTab(tab, active);
}
}
}
function findSelectorsToSyncByLanguage() {
const result = {};
const tabs = Array.from(
document.querySelectorAll(`div[data-group] a[id^='tabset-']`)
);
for (const item of tabs) {
const div = item.parentElement.parentElement.parentElement;
const group = div.getAttribute("data-group");
if (!result[group]) {
result[group] = {};
}
const selectorsToSync = result[group];
const value = item.innerHTML;
if (!selectorsToSync[value]) {
selectorsToSync[value] = [];
}
selectorsToSync[value].push(item);
}
return result;
}
function setupSelectorSync() {
const selectorsToSync = findSelectorsToSyncByLanguage();
Object.entries(selectorsToSync).forEach(([group, tabSetsByValue]) => {
Object.entries(tabSetsByValue).forEach(([value, items]) => {
items.forEach((item) => {
item.addEventListener("click", (_event) => {
setTabState(group, value);
toggleAll(value, selectorsToSync[group]);
});
});
});
});
return selectorsToSync;
}
const selectorsToSync = setupSelectorSync();
for (const [group, selectedName] of Object.entries(getTabSettings())) {
const selectors = selectorsToSync[group];
// it's possible that stale state gives us empty selections, so we explicitly check here.
if (selectors) {
toggleAll(selectedName, selectors);
}
}
});
function throttle(func, wait) {
let waiting = false;
return function () {
if (!waiting) {
func.apply(this, arguments);
waiting = true;
setTimeout(function () {
waiting = false;
}, wait);
}
};
}
function nexttick(func) {
return setTimeout(func, 0);
}
< / script >
< script > / * *
2024-02-28 07:12:36 +00:00
* @popperjs/core v2.11.7 - MIT License
2024-01-06 09:41:26 +00:00
*/
2024-02-28 07:12:36 +00:00
!function(e,t){"object"==typeof exports& & "undefined"!=typeof module?t(exports):"function"==typeof define& & define.amd?define(["exports"],t):t((e="undefined"!=typeof globalThis?globalThis:e||self).Popper={})}(this,(function(e){"use strict";function t(e){if(null==e)return window;if("[object Window]"!==e.toString()){var t=e.ownerDocument;return t& & t.defaultView||window}return e}function n(e){return e instanceof t(e).Element||e instanceof Element}function r(e){return e instanceof t(e).HTMLElement||e instanceof HTMLElement}function o(e){return"undefined"!=typeof ShadowRoot& & (e instanceof t(e).ShadowRoot||e instanceof ShadowRoot)}var i=Math.max,a=Math.min,s=Math.round;function f(){var e=navigator.userAgentData;return null!=e& & e.brands& & Array.isArray(e.brands)?e.brands.map((function(e){return e.brand+"/"+e.version})).join(" "):navigator.userAgent}function c(){return!/^((?!chrome|android).)*safari/i.test(f())}function p(e,o,i){void 0===o& & (o=!1),void 0===i&&(i=!1); var a=e.getBoundingClientRect(),f=1,p=1;o&&r(e)&&(f=e.offsetWidth>0&&s(a.width)/e.offsetWidth||1,p=e.offsetHeight>0&&s(a.height)/e.offsetHeight||1); var u=(n(e)?t(e):window).visualViewport,l=!c()&&i,d=(a.left+(l&&u?u.offsetLeft:0))/f,h=(a.top+(l&&u?u.offsetTop:0))/p,m=a.width/f,v=a.height/p; return{width:m,height:v,top:h,right:d+m,bottom:h+v,left:d,x:d,y:h}}function u(e){var n=t(e);return{scrollLeft:n.pageXOffset,scrollTop:n.pageYOffset}}function l(e){return e?(e.nodeName||"").toLowerCase():null}function d(e){return((n(e)?e.ownerDocument:e.document)||window.document).documentElement}function h(e){return p(d(e)).left+u(e).scrollLeft}function m(e){return t(e).getComputedStyle(e)}function v(e){var t=m(e),n=t.overflow,r=t.overflowX,o=t.overflowY;return/auto|scroll|overlay|hidden/.test(n+o+r)}function y(e,n,o){void 0===o&&(o=!1); var i,a,f=r(n),c=r(n)& & function(e){var t=e.getBoundingClientRect(),n=s(t.width)/e.offsetWidth||1,r=s(t.height)/e.offsetHeight||1;return 1!==n||1!==r}(n),m=d(n),y=p(e,c,o),g={scrollLeft:0,scrollTop:0},b={x:0,y:0};return(f||!f& & !o)& & (("body"!==l(n)||v(m))& & (g=(i=n)!==t(i)& & r(i)?{scrollLeft:(a=i).scrollLeft,scrollTop:a.scrollTop}:u(i)),r(n)?((b=p(n,!0)).x+=n.clientLeft,b.y+=n.clientTop):m& & (b.x=h(m))),{x:y.left+g.scrollLeft-b.x,y:y.top+g.scrollTop-b.y,width:y.width,height:y.height}}function g(e){var t=p(e),n=e.offsetWidth,r=e.offsetHeight;return Math.abs(t.width-n)< =1& & (n=t.width),Math.abs(t.height-r)< =1& & (r=t.height),{x:e.offsetLeft,y:e.offsetTop,width:n,height:r}}function b(e){return"html"===l(e)?e:e.assignedSlot||e.parentNode||(o(e)?e.host:null)||d(e)}function x(e){return["html","body","#document"].indexOf(l(e))>=0?e.ownerDocument.body:r(e)& & v(e)?e:x(b(e))}function w(e,n){var r;void 0===n&&(n=[]); var o=x(e),i=o===(null==(r=e.ownerDocument)?void 0:r.body),a=t(o),s=i?[a].concat(a.visualViewport||[],v(o)?o:[]):o,f=n.concat(s);return i?f:f.concat(w(b(s)))}function O(e){return["table","td","th"].indexOf(l(e))>=0}function j(e){return r(e)& & "fixed"!==m(e).position?e.offsetParent:null}function E(e){for(var n=t(e),i=j(e);i&&O(i)&&"static"===m(i).position; )i=j(i);return i& & ("html"===l(i)||"body"===l(i)& & "static"===m(i).position)?n:i||function(e){var t=/firefox/i.test(f());if(/Trident/i.test(f())& & r(e)& & "fixed"===m(e).position)return null;var n=b(e);for(o(n)&&(n=n.host); r(n)&&["html","body"].indexOf(l(n))<0; ){var i=m(n);if("none"!==i.transform||"none"!==i.perspective||"paint"===i.contain||-1!==["transform","perspective"].indexOf(i.willChange)||t& & "filter"===i.willChange||t& & i.filter& & "none"!==i.filter)return n;n=n.parentNode}return null}(e)||n}var D="top",A="bottom",L="right",P="left",M="auto",k=[D,A,L,P],W="start",B="end",H="viewport",T="popper",R=k.reduce((function(e,t){return e.concat([t+"-"+W,t+"-"+B])}),[]),S=[].concat(k,[M]).reduce((function(e,t){return e.concat([t,t+"-"+W,t+"-"+B])}),[]),V=["beforeRead","read","afterRead","beforeMain","main","afterMain","beforeWrite","write","afterWrite"];function q(e){var t=new Map,n=new Set,r=[];function o(e){n.add(e.name),[].concat(e.requires||[],e.requiresIfExists||[]).forEach((function(e){if(!n.has(e)){var r=t.get(e)
2024-01-06 09:41:26 +00:00
< / script >
< script > ! f u n c t i o n ( e , t ) { " o b j e c t " = = t y p e o f e x p o r t s & & " u n d e f i n e d " ! = t y p e o f m o d u l e ? m o d u l e . e x p o r t s = t ( r e q u i r e ( " @ p o p p e r j s / c o r e " ) ) : " f u n c t i o n " = = t y p e o f d e f i n e & & d e f i n e . a m d ? d e f i n e ( [ " @ p o p p e r j s / c o r e " ] , t ) : ( e = e | | s e l f ) . t i p p y = t ( e . P o p p e r ) } ( t h i s , ( f u n c t i o n ( e ) { " u s e s t r i c t " ; v a r t = { p a s s i v e : ! 0 , c a p t u r e : ! 0 } , n = f u n c t i o n ( ) { r e t u r n d o c u m e n t . b o d y } ; f u n c t i o n r ( e , t , n ) { i f ( A r r a y . i s A r r a y ( e ) ) { v a r r = e [ t ] ; r e t u r n n u l l = = r ? A r r a y . i s A r r a y ( n ) ? n [ t ] : n : r } r e t u r n e } f u n c t i o n o ( e , t ) { v a r n = { } . t o S t r i n g . c a l l ( e ) ; r e t u r n 0 = = = n . i n d e x O f ( " [ o b j e c t " ) & & n . i n d e x O f ( t + " ] " ) > - 1 } f u n c t i o n i ( e , t ) { r e t u r n " f u n c t i o n " = = t y p e o f e ? e . a p p l y ( v o i d 0 , t ) : e } f u n c t i o n a ( e , t ) { r e t u r n 0 = = = t ? e : f u n c t i o n ( r ) { c l e a r T i m e o u t ( n ) , n = s e t T i m e o u t ( ( f u n c t i o n ( ) { e ( r ) } ) , t ) } ; v a r n } f u n c t i o n s ( e , t ) { v a r n = O b j e c t . a s s i g n ( { } , e ) ; r e t u r n t . f o r E a c h ( ( f u n c t i o n ( e ) { d e l e t e n [ e ] } ) ) , n } f u n c t i o n u ( e ) { r e t u r n [ ] . c o n c a t ( e ) } f u n c t i o n c ( e , t ) { - 1 = = = e . i n d e x O f ( t ) & & e . p u s h ( t ) } f u n c t i o n p ( e ) { r e t u r n e . s p l i t ( " - " ) [ 0 ] } f u n c t i o n f ( e ) { r e t u r n [ ] . s l i c e . c a l l ( e ) } f u n c t i o n l ( e ) { r e t u r n O b j e c t . k e y s ( e ) . r e d u c e ( ( f u n c t i o n ( t , n ) { r e t u r n v o i d 0 ! = = e [ n ] & & ( t [ n ] = e [ n ] ) , t } ) , { } ) } f u n c t i o n d ( ) { r e t u r n d o c u m e n t . c r e a t e E l e m e n t ( " d i v " ) } f u n c t i o n v ( e ) { r e t u r n [ " E l e m e n t " , " F r a g m e n t " ] . s o m e ( ( f u n c t i o n ( t ) { r e t u r n o ( e , t ) } ) ) } f u n c t i o n m ( e ) { r e t u r n o ( e , " M o u s e E v e n t " ) } f u n c t i o n g ( e ) { r e t u r n ! ( ! e | | ! e . _ t i p p y | | e . _ t i p p y . r e f e r e n c e ! = = e ) } f u n c t i o n h ( e ) { r e t u r n v ( e ) ? [ e ] : f u n c t i o n ( e ) { r e t u r n o ( e , " N o d e L i s t " ) } ( e ) ? f ( e ) : A r r a y . i s A r r a y ( e ) ? e : f ( d o c u m e n t . q u e r y S e l e c t o r A l l ( e ) ) } f u n c t i o n b ( e , t ) { e . f o r E a c h ( ( f u n c t i o n ( e ) { e & & ( e . s t y l e . t r a n s i t i o n D u r a t i o n = t + " m s " ) } ) ) } f u n c t i o n y ( e , t ) { e . f o r E a c h ( ( f u n c t i o n ( e ) { e & & e . s e t A t t r i b u t e ( " d a t a - s t a t e " , t ) } ) ) } f u n c t i o n w ( e ) { v a r t , n = u ( e ) [ 0 ] ; r e t u r n n u l l ! = n & & n u l l ! = ( t = n . o w n e r D o c u m e n t ) & & t . b o d y ? n . o w n e r D o c u m e n t : d o c u m e n t } f u n c t i o n E ( e , t , n ) { v a r r = t + " E v e n t L i s t e n e r " ; [ " t r a n s i t i o n e n d " , " w e b k i t T r a n s i t i o n E n d " ] . f o r E a c h ( ( f u n c t i o n ( t ) { e [ r ] ( t , n ) } ) ) } f u n c t i o n O ( e , t ) { f o r ( v a r n = t ; n ; ) { v a r r ; i f ( e . c o n t a i n s ( n ) ) r e t u r n ! 0 ; n = n u l l = = n . g e t R o o t N o d e | | n u l l = = ( r = n . g e t R o o t N o d e ( ) ) ? v o i d 0 : r . h o s t } r e t u r n ! 1 } v a r x = { i s T o u c h : ! 1 } , C = 0 ; f u n c t i o n T ( ) { x . i s T o u c h | | ( x . i s T o u c h = ! 0 , w i n d o w . p e r f o r m a n c e & & d o c u m e n t . a d d E v e n t L i s t e n e r ( " m o u s e m o v e " , A ) ) } f u n c t i o n A ( ) { v a r e = p e r f o r m a n c e . n o w ( ) ; e - C < 2 0 & & ( x . i s T o u c h = ! 1 , d o c u m e n t . r e m o v e E v e n t L i s t e n e r ( " m o u s e m o v e " , A ) ) , C = e } f u n c t i o n L ( ) { v a r e = d o c u m e n t . a c t i v e E l e m e n t ; i f ( g ( e ) ) { v a r t = e . _ t i p p y ; e . b l u r & & ! t . s t a t e . i s V i s i b l e & & e . b l u r ( ) } } v a r D = ! ! ( " u n d e f i n e d " ! = t y p e o f w i n d o w & & " u n d e f i n e d " ! = t y p e o f d o c u m e n t ) & & ! ! w i n d o w . m s C r y p t o , R = O b j e c t . a s s i g n ( { a p p e n d T o : n , a r i a : { c o n t e n t : " a u t o " , e x p a n d e d : " a u t o " } , d e l a y : 0 , d u r a t i o n : [ 3 0 0 , 2 5 0 ] , g e t R e f e r e n c e C l i e n t R e c t : n u l l , h i d e O n C l i c k : ! 0 , i g n o r e A t t r i b u t e s : ! 1 , i n t e r a c t i v e : ! 1 , i n t e r a c t i v e B o r d e r : 2 , i n t e r a c t i v e D e b o u n c e : 0 , m o v e T r a n s i t i o n : " " , o f f s e t : [ 0 , 1 0 ] , o n A f t e r U p d a t e : f u n c t i o n ( ) { } , o n B e f o r e U p d a t e : f u n c t i o n ( ) { } , o n C r e a t e : f u n c t i o n ( ) { } , o n D e s t r o y : f u n c t i o n ( ) { } , o n H i d d e n : f u n c t i o n ( ) { } , o n H i d e : f u n c t i o n ( ) { } , o n M o u n t : f u n c t i o n ( ) { } , o n S h o w : f u n c t i o n ( ) { } , o n S h o w n : f u n c t i o n ( ) { } , o n T r i g g e r : f u n c t i o n ( ) { } , o n U n t r i g g e r : f u n c t i o n ( ) { } , o n C l i c k O u t s i d e : f u n c t i o n ( ) { } , p l a c e m e n t : " t o p " , p l u g i n s : [ ] , p o p p e r O p t i o n s : { } , r e n d e r : n u l l , s h o w O n C r e a t e : ! 1 , t o u c h : ! 0 , t r i g g e r : " m o u s e e n t e r f o c u s " , t r i g g e r T a r g e t : n u l l } , { a n i m a t e F i l l : ! 1 , f o l l o w C u r s o r : ! 1 , i n l i n e P o s i t i o n i n g : ! 1 , s t i c k y : ! 1 } , { a l l o w H T M L : ! 1 , a n i m a t i o n : " f a d e " , a r r o w : ! 0 , c o n t e n t : " " , i n e r t i a : ! 1 , m a x W i d t h : 3 5 0 , r o l e : " t o o l t i p " , t h e m e : " " , z I n d e x : 9 9 9 9 } ) , k = O b j e c t . k e y s ( R ) ; f u n c t i o n P ( e ) { v a r t = ( e . p l u g i n s | | [ ] ) . r e d u c e ( ( f u n c t i o n ( t , n ) { v a r r , o = n . n a m e , i = n . d e f a u l t V a l u e ; o & & ( t [ o ] = v o i d 0 ! = = e [ o ] ? e [ o ] : n u l l ! = ( r = R [ o ] ) ? r : i ) ; r e t u r n t } ) , { } ) ; r e t u r n O b j e c t . a s s i g n ( { } , e , t ) } f u n c t i o n j ( e , t ) { v a r n = O b j e c t . a s s i g n ( { } , t , { c o n t e n t : i ( t . c o n t e n t , [ e ] ) } , t . i g n o r e A t t r i b u t e s ? { } : f u n c t i o n ( e , t ) { r e t u r n ( t ? O b j e c t . k e y s ( P ( O b j e c t . a s s i g n ( { } , R , { p l u g i n s : t } ) ) ) : k ) . r e d u c e ( ( f u n c t i o n ( t , n ) { v a r r = ( e . g e t A t t r i b u t e ( " d a t a - t i p p y - " + n ) | | " " ) . t r i m ( ) ; i f ( ! r ) r e t u r n t ; i f ( " c o n t e n t " = = = n ) t [ n ] = r ; e l s e t r y { t [ n ] = J S O N . p a r s e ( r ) } c a t c h ( e ) { t [ n ] = r } r e t u r n t } ) , { } ) } ( e , t . p l u g i n s ) ) ; r e t u r n n . a r i a = O b j e c t . a s s i g n ( { } , R . a r i a , n . a r i a ) , n . a r i a = { e x p a n d e d : " a u t o " = = = n . a r i a . e x p a n d e d ? t . i n t e r a c t i v e : n . a r i a . e x p a n d e d , c o n t e n t : " a u t o " = = = n . a r i a . c o n t e n t ? t . i n t e r a c t i v e ? n u l l : " d e s c r i b e d b y " : n . a r i a . c o n t e n t } , n } f u n c t i o n M ( e , t ) { e . i n n e r H T M L = t } f u n c t i o n V ( e ) { v a r t = d ( ) ; r e t u r n ! 0 = = = e ? t . c l a s s N a m e = " t i p p y - a r r o w " : ( t . c l a s s N a m e = " t i p p y - s v g - a r r o w " , v ( e ) ? t . a p p e n d C h i l d ( e ) : M ( t , e ) ) , t } f u n c t i o n I ( e , t ) { v ( t . c o n t e n t ) ? ( M ( e , " " ) , e . a p p e n d C h i l d ( t . c o n
< / script >
< script > / / @ l i c e n s e m a g n e t : ? x t = u r n : b t i h : d 3 d 9 a 9 a 6 5 9 5 5 2 1 f 9 6 6 6 a 5 e 9 4 c c 8 3 0 d a b 8 3 b 6 5 6 9 9 & d n = e x p a t . t x t E x p a t
//
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// AnchorJS - v5.0.0 - 2023-01-18
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// https://www.bryanbraun.com/anchorjs/
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// Copyright (c) 2023 Bryan Braun; Licensed MIT
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//
// @license magnet:?xt=urn:btih:d3d9a9a6595521f9666a5e94cc830dab83b65699& dn=expat.txt Expat
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!function(A,e){"use strict";"function"==typeof define& & define.amd?define([],e):"object"==typeof module& & module.exports?module.exports=e():(A.AnchorJS=e(),A.anchors=new A.AnchorJS)}(globalThis,function(){"use strict";return function(A){function u(A){A.icon=Object.prototype.hasOwnProperty.call(A,"icon")?A.icon:"",A.visible=Object.prototype.hasOwnProperty.call(A,"visible")?A.visible:"hover",A.placement=Object.prototype.hasOwnProperty.call(A,"placement")?A.placement:"right",A.ariaLabel=Object.prototype.hasOwnProperty.call(A,"ariaLabel")?A.ariaLabel:"Anchor",A.class=Object.prototype.hasOwnProperty.call(A,"class")?A.class:"",A.base=Object.prototype.hasOwnProperty.call(A,"base")?A.base:"",A.truncate=Object.prototype.hasOwnProperty.call(A,"truncate")?Math.floor(A.truncate):64,A.titleText=Object.prototype.hasOwnProperty.call(A,"titleText")?A.titleText:""}function d(A){var e;if("string"==typeof A||A instanceof String)e=[].slice.call(document.querySelectorAll(A));else{if(!(Array.isArray(A)||A instanceof NodeList))throw new TypeError("The selector provided to AnchorJS was invalid.");e=[].slice.call(A)}return e}this.options=A||{},this.elements=[],u(this.options),this.add=function(A){var e,t,o,i,n,s,a,r,l,c,h,p=[];if(u(this.options),0!==(e=d(A=A||"h2, h3, h4, h5, h6")).length){for(null===document.head.querySelector("style.anchorjs")& & ((A=document.createElement("style")).className="anchorjs",A.appendChild(document.createTextNode("")),void 0===(h=document.head.querySelector('[rel="stylesheet"],style'))?document.head.appendChild(A):document.head.insertBefore(A,h),A.sheet.insertRule(".anchorjs-link{opacity:0;text-decoration:none;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}",A.sheet.cssRules.length),A.sheet.insertRule(":hover>.anchorjs-link,.anchorjs-link:focus{opacity:1}",A.sheet.cssRules.length),A.sheet.insertRule("[data-anchorjs-icon]::after{content:attr(data-anchorjs-icon)}",A.sheet.cssRules.length),A.sheet.insertRule('@font-face{font-family:anchorjs-icons;src:url(data:n/a;base64,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) format("truetype")}',A.sheet.cssRules.length)),h=document.querySelectorAll("[id]"),t=[].map.call(h,function(A){return A.id}),i=0;i< e.length ; i + + ) if ( this . hasAnchorJSLink ( e [ i ] ) ) p . push ( i ) ; else { if ( e [ i ] . hasAttribute ( " id " ) ) o = e[i].getAttribute("id");else if ( e [ i ] . hasAttribute ( " data-anchor-id " ) ) o = e[i].getAttribute("data-anchor-id");else{for(r=a=this.urlify(e[i].textContent),s=0;n=t.indexOf(r=void 0 ! = = n ? a + " - " + s:r ) , s + = 1 , -1 ! = = n ; ) ; n = void 0 , t . push ( r ) , e [ i ] . setAttribute ( " id " , r ) , o = r}(l=document.createElement("a")).className="anchorjs-link " + this . options . class , l . setAttribute ( " aria-label " , this . options . ariaLabel ) , l . setAttribute ( " data-anchorjs-icon " , this . options . icon ) , this . options . titleText & & ( l . title = this.options.titleText),c=document.querySelector(
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// @license-end< / script >
< style type = "text/css" > . tippy-box [ data-animation = fade ] [ data-state = hidden ] { opacity : 0 } [ data-tippy-root ] { max-width : calc ( 100 vw - 10 px ) } . tippy-box { position : relative ; background-color : #333 ; color : #fff ; border-radius : 4 px ; font-size : 14 px ; line-height : 1.4 ; white-space : normal ; outline : 0 ; transition-property : transform , visibility , opacity } . tippy-box [ data-placement ^ = top ] > . tippy-arrow { bottom : 0 } . tippy-box [ data-placement ^ = top ] > . tippy-arrow : before { bottom : -7 px ; left : 0 ; border-width : 8 px 8 px 0 ; border-top-color : initial ; transform-origin : center top } . tippy-box [ data-placement ^ = bottom ] > . tippy-arrow { top : 0 } . tippy-box [ data-placement ^ = bottom ] > . tippy-arrow : before { top : -7 px ; left : 0 ; border-width : 0 8 px 8 px ; border-bottom-color : initial ; transform-origin : center bottom } . tippy-box [ data-placement ^ = left ] > . tippy-arrow { right : 0 } . tippy-box [ data-placement ^ = left ] > . tippy-arrow : before { border-width : 8 px 0 8 px 8 px ; border-left-color : initial ; right : -7 px ; transform-origin : center left } . tippy-box [ data-placement ^ = right ] > . tippy-arrow { left : 0 } . tippy-box [ data-placement ^ = right ] > . tippy-arrow : before { left : -7 px ; border-width : 8 px 8 px 8 px 0 ; border-right-color : initial ; transform-origin : center right } . tippy-box [ data-inertia ] [ data-state = visible ] { transition-timing-function : cubic-bezier ( .54 , 1.5 , .38 , 1.11 ) } . tippy-arrow { width : 16 px ; height : 16 px ; color : #333 } . tippy-arrow : before { content : "" ; position : absolute ; border-color : transparent ; border-style : solid } . tippy-content { position : relative ; padding : 5 px 9 px ; z-index : 1 } < / style >
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< link href = "data:text/css,%0A%3Aroot%20%7B%0A%2D%2Dquarto%2Dhl%2Dot%2Dcolor%3A%20%23003B4F%3B%0A%2D%2Dquarto%2Dhl%2Dat%2Dcolor%3A%20%23657422%3B%0A%2D%2Dquarto%2Dhl%2Dss%2Dcolor%3A%20%2320794D%3B%0A%2D%2Dquarto%2Dhl%2Dan%2Dcolor%3A%20%235E5E5E%3B%0A%2D%2Dquarto%2Dhl%2Dfu%2Dcolor%3A%20%234758AB%3B%0A%2D%2Dquarto%2Dhl%2Dst%2Dcolor%3A%20%2320794D%3B%0A%2D%2Dquarto%2Dhl%2Dcf%2Dcolor%3A%20%23003B4F%3B%0A%2D%2Dquarto%2Dhl%2Dop%2Dcolor%3A%20%235E5E5E%3B%0A%2D%2Dquarto%2Dhl%2Der%2Dcolor%3A%20%23AD0000%3B%0A%2D%2Dquarto%2Dhl%2Dbn%2Dcolor%3A%20%23AD0000%3B%0A%2D%2Dquarto%2Dhl%2Dal%2Dcolor%3A%20%23AD0000%3B%0A%2D%2Dquarto%2Dhl%2Dva%2Dcolor%3A%20%23111111%3B%0A%2D%2Dquarto%2Dhl%2Dbu%2Dcolor%3A%20inherit%3B%0A%2D%2Dquarto%2Dhl%2Dex%2Dcolor%3A%20inherit%3B%0A%2D%2Dquarto%2Dhl%2Dpp%2Dcolor%3A%20%23AD0000%3B%0A%2D%2Dquarto%2Dhl%2Din%2Dcolor%3A%20%235E5E5E%3B%0A%2D%2Dquarto%2Dhl%2Dvs%2Dcolor%3A%20%2320794D%3B%0A%2D%2Dquarto%2Dhl%2Dwa%2Dcolor%3A%20%235E5E5E%3B%0A%2D%2Dquarto%2Dhl%2Ddo%2Dcolor%3A%20%235E5E5E%3B%0A%2D%2Dquarto%2Dhl%2Dim%2Dcolor%3A%20%2300769E%3B%0A%2D%2Dquarto%2Dhl%2Dch%2Dcolor%3A%20%2320794D%3B%0A%2D%2Dquarto%2Dhl%2Ddt%2Dcolor%3A%20%23AD0000%3B%0A%2D%2Dquarto%2Dhl%2Dfl%2Dcolor%3A%20%23AD0000%3B%0A%2D%2Dquarto%2Dhl%2Dco%2Dcolor%3A%20%235E5E5E%3B%0A%2D%2Dquarto%2Dhl%2Dcv%2Dcolor%3A%20%235E5E5E%3B%0A%2D%2Dquarto%2Dhl%2Dcn%2Dcolor%3A%20%238f5902%3B%0A%2D%2Dquarto%2Dhl%2Dsc%2Dcolor%3A%20%235E5E5E%3B%0A%2D%2Dquarto%2Dhl%2Ddv%2Dcolor%3A%20%23AD0000%3B%0A%2D%2Dquarto%2Dhl%2Dkw%2Dcolor%3A%20%23003B4F%3B%0A%7D%0A%0A%3Aroot%20%7B%0A%2D%2Dquarto%2Dfont%2Dmonospace%3A%20SFMono%2DRegular%2C%20Menlo%2C%20Monaco%2C%20Consolas%2C%20%22Liberation%20Mono%22%2C%20%22Courier%20New%22%2C%20monospace%3B%0A%7D%0Apre%20%3E%20code%2EsourceCode%20%3E%20span%20%7B%0Acolor%3A%20%23003B4F%3B%0A%7D%0Acode%20span%20%7B%0Acolor%3A%20%23003B4F%3B%0A%7D%0Acode%2EsourceCode%20%3E%20span%20%7B%0Acolor%3A%20%23003B4F%3B%0A%7D%0Adiv%2EsourceCode%2C%0Adiv%2EsourceCode%20pre%2EsourceCode%20%7B%0Acolor%3A%20%23003B4F%3B%0A%7D%0Acode%20span%2Eot%20%7B%0Acolor%3A%20%23003B4F%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Eat%20%7B%0Acolor%3A%20%23657422%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Ess%20%7B%0Acolor%3A%20%2320794D%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Ean%20%7B%0Acolor%3A%20%235E5E5E%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Efu%20%7B%0Acolor%3A%20%234758AB%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Est%20%7B%0Acolor%3A%20%2320794D%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Ecf%20%7B%0Acolor%3A%20%23003B4F%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Eop%20%7B%0Acolor%3A%20%235E5E5E%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Eer%20%7B%0Acolor%3A%20%23AD0000%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Ebn%20%7B%0Acolor%3A%20%23AD0000%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Eal%20%7B%0Acolor%3A%20%23AD0000%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Eva%20%7B%0Acolor%3A%20%23111111%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Ebu%20%7B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Eex%20%7B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Epp%20%7B%0Acolor%3A%20%23AD0000%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Ein%20%7B%0Acolor%3A%20%235E5E5E%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Evs%20%7B%0Acolor%3A%20%2320794D%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Ewa%20%7B%0Acolor%3A%20%235E5E5E%3B%0Afont%2Dstyle%3A%20italic%3B%0A%7D%0Acode%20span%2Edo%20%7B%0Acolor%3A%20%235E5E5E%3B%0Afont%2Dstyle%3A%20italic%3B%0A%7D%0Acode%20span%2Eim%20%7B%0Acolor%3A%20%2300769E%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Ech%20%7B%0Acolor%3A%20%2320794D%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Edt%20%7B%0Acolor%3A%20%23AD0000%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Efl%20%7B%0Acolor%3A%20%23AD0000%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Eco%20%7B%0Acolor%3A%20%235E5E5E%3B%0Afont%2Dstyle%3A%20inherit%3B%0A%7D%0Acode%20span%2Ecv%
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< script > / * !
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* Bootstrap v5.3.1 (https://getbootstrap.com/)
* Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
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* Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
*/
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< style type = "text/css" >
@font-face {
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font-display: block;
font-family: "bootstrap-icons";
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}
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[class^="bi-"]::before,
[class*=" bi-"]::before {
display: inline-block;
font-family: bootstrap-icons !important;
font-style: normal;
font-weight: normal !important;
font-variant: normal;
text-transform: none;
line-height: 1;
vertical-align: -.125em;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
.bi-123::before { content: "\f67f"; }
.bi-alarm-fill::before { content: "\f101"; }
.bi-alarm::before { content: "\f102"; }
.bi-align-bottom::before { content: "\f103"; }
.bi-align-center::before { content: "\f104"; }
.bi-align-end::before { content: "\f105"; }
.bi-align-middle::before { content: "\f106"; }
.bi-align-start::before { content: "\f107"; }
.bi-align-top::before { content: "\f108"; }
.bi-alt::before { content: "\f109"; }
.bi-app-indicator::before { content: "\f10a"; }
.bi-app::before { content: "\f10b"; }
.bi-archive-fill::before { content: "\f10c"; }
.bi-archive::before { content: "\f10d"; }
.bi-arrow-90deg-down::before { content: "\f10e"; }
.bi-arrow-90deg-left::before { content: "\f10f"; }
.bi-arrow-90deg-right::before { content: "\f110"; }
.bi-arrow-90deg-up::before { content: "\f111"; }
.bi-arrow-bar-down::before { content: "\f112"; }
.bi-arrow-bar-left::before { content: "\f113"; }
.bi-arrow-bar-right::before { content: "\f114"; }
.bi-arrow-bar-up::before { content: "\f115"; }
.bi-arrow-clockwise::before { content: "\f116"; }
.bi-arrow-counterclockwise::before { content: "\f117"; }
.bi-arrow-down-circle-fill::before { content: "\f118"; }
.bi-arrow-down-circle::before { content: "\f119"; }
.bi-arrow-down-left-circle-fill::before { content: "\f11a"; }
.bi-arrow-down-left-circle::before { content: "\f11b"; }
.bi-arrow-down-left-square-fill::before { content: "\f11c"; }
.bi-arrow-down-left-square::before { content: "\f11d"; }
.bi-arrow-down-left::before { content: "\f11e"; }
.bi-arrow-down-right-circle-fill::before { content: "\f11f"; }
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.bi-arrow-down-right-square-fill::before { content: "\f121"; }
.bi-arrow-down-right-square::before { content: "\f122"; }
.bi-arrow-down-right::before { content: "\f123"; }
.bi-arrow-down-short::before { content: "\f124"; }
.bi-arrow-down-square-fill::before { content: "\f125"; }
.bi-arrow-down-square::before { content: "\f126"; }
.bi-arrow-down-up::before { content: "\f127"; }
.bi-arrow-down::before { content: "\f128"; }
.bi-arrow-left-circle-fill::before { content: "\f129"; }
.bi-arrow-left-circle::before { content: "\f12a"; }
.bi-arrow-left-right::before { content: "\f12b"; }
.bi-arrow-left-short::before { content: "\f12c"; }
.bi-arrow-left-square-fill::before { content: "\f12d"; }
.bi-arrow-left-square::before { content: "\f12e"; }
.bi-arrow-left::before { content: "\f12f"; }
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.bi-arrow-right-circle-fill::before { content: "\f133"; }
.bi-arrow-right-circle::before { content: "\f134"; }
.bi-arrow-right-short::before { content: "\f135"; }
.bi-arrow-right-square-fill::before { content: "\f136"; }
.bi-arrow-right-square::before { content: "\f137"; }
.bi-arrow-right::before { content: "\f138"; }
.bi-arrow-up-circle-fill::before { content: "\f139"; }
.bi-arrow-up-circle::before { content: "\f13a"; }
.bi-arrow-up-left-circle-fill::before { content: "\f13b"; }
.bi-arrow-up-left-circle::before { content: "\f13c"; }
.bi-arrow-up-left-square-fill::before { content: "\f13d"; }
.bi-arrow-up-left-square::before { content: "\f13e"; }
.bi-arrow-up-left::before { content: "\f13f"; }
.bi-arrow-up-right-circle-fill::before { content: "\f140"; }
.bi-arrow-up-right-circle::before { content: "\f141"; }
.bi-arrow-up-right-square-fill::before { content: "\f142"; }
.bi-arrow-up-right-square::before { content: "\f143"; }
.bi-arrow-up-right::before { content: "\f144"; }
.bi-arrow-up-short::before { content: "\f145"; }
.bi-arrow-up-square-fill::before { content: "\f146"; }
.bi-arrow-up-square::before { content: "\f147"; }
.bi-arrow-up::before { content: "\f148"; }
.bi-arrows-angle-contract::before { content: "\f149"; }
.bi-arrows-angle-expand::before { content: "\f14a"; }
.bi-arrows-collapse::before { content: "\f14b"; }
.bi-arrows-expand::before { content: "\f14c"; }
.bi-arrows-fullscreen::before { content: "\f14d"; }
.bi-arrows-move::before { content: "\f14e"; }
.bi-aspect-ratio-fill::before { content: "\f14f"; }
.bi-aspect-ratio::before { content: "\f150"; }
.bi-asterisk::before { content: "\f151"; }
.bi-at::before { content: "\f152"; }
.bi-award-fill::before { content: "\f153"; }
.bi-award::before { content: "\f154"; }
.bi-back::before { content: "\f155"; }
.bi-backspace-fill::before { content: "\f156"; }
.bi-backspace-reverse-fill::before { content: "\f157"; }
.bi-backspace-reverse::before { content: "\f158"; }
.bi-backspace::before { content: "\f159"; }
.bi-badge-3d-fill::before { content: "\f15a"; }
.bi-badge-3d::before { content: "\f15b"; }
.bi-badge-4k-fill::before { content: "\f15c"; }
.bi-badge-4k::before { content: "\f15d"; }
.bi-badge-8k-fill::before { content: "\f15e"; }
.bi-badge-8k::before { content: "\f15f"; }
.bi-badge-ad-fill::before { content: "\f160"; }
.bi-badge-ad::before { content: "\f161"; }
.bi-badge-ar-fill::before { content: "\f162"; }
.bi-badge-ar::before { content: "\f163"; }
.bi-badge-cc-fill::before { content: "\f164"; }
.bi-badge-cc::before { content: "\f165"; }
.bi-badge-hd-fill::before { content: "\f166"; }
.bi-badge-hd::before { content: "\f167"; }
.bi-badge-tm-fill::before { content: "\f168"; }
.bi-badge-tm::before { content: "\f169"; }
.bi-badge-vo-fill::before { content: "\f16a"; }
.bi-badge-vo::before { content: "\f16b"; }
.bi-badge-vr-fill::before { content: "\f16c"; }
.bi-badge-vr::before { content: "\f16d"; }
.bi-badge-wc-fill::before { content: "\f16e"; }
.bi-badge-wc::before { content: "\f16f"; }
.bi-bag-check-fill::before { content: "\f170"; }
.bi-bag-check::before { content: "\f171"; }
.bi-bag-dash-fill::before { content: "\f172"; }
.bi-bag-dash::before { content: "\f173"; }
.bi-bag-fill::before { content: "\f174"; }
.bi-bag-plus-fill::before { content: "\f175"; }
.bi-bag-plus::before { content: "\f176"; }
.bi-bag-x-fill::before { content: "\f177"; }
.bi-bag-x::before { content: "\f178"; }
.bi-bag::before { content: "\f179"; }
.bi-bar-chart-fill::before { content: "\f17a"; }
.bi-bar-chart-line-fill::before { content: "\f17b"; }
.bi-bar-chart-line::before { content: "\f17c"; }
.bi-bar-chart-steps::before { content: "\f17d"; }
.bi-bar-chart::before { content: "\f17e"; }
.bi-basket-fill::before { content: "\f17f"; }
.bi-basket::before { content: "\f180"; }
.bi-basket2-fill::before { content: "\f181"; }
.bi-basket2::before { content: "\f182"; }
.bi-basket3-fill::before { content: "\f183"; }
.bi-basket3::before { content: "\f184"; }
.bi-battery-charging::before { content: "\f185"; }
.bi-battery-full::before { content: "\f186"; }
.bi-battery-half::before { content: "\f187"; }
.bi-battery::before { content: "\f188"; }
.bi-bell-fill::before { content: "\f189"; }
.bi-bell::before { content: "\f18a"; }
.bi-bezier::before { content: "\f18b"; }
.bi-bezier2::before { content: "\f18c"; }
.bi-bicycle::before { content: "\f18d"; }
.bi-binoculars-fill::before { content: "\f18e"; }
.bi-binoculars::before { content: "\f18f"; }
.bi-blockquote-left::before { content: "\f190"; }
.bi-blockquote-right::before { content: "\f191"; }
.bi-book-fill::before { content: "\f192"; }
.bi-book-half::before { content: "\f193"; }
.bi-book::before { content: "\f194"; }
.bi-bookmark-check-fill::before { content: "\f195"; }
.bi-bookmark-check::before { content: "\f196"; }
.bi-bookmark-dash-fill::before { content: "\f197"; }
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.bi-sign-stop-lights-fill::before { content: "\f82c"; }
.bi-sign-stop-lights::before { content: "\f82d"; }
.bi-sign-stop::before { content: "\f82e"; }
.bi-sign-turn-left-fill::before { content: "\f82f"; }
.bi-sign-turn-left::before { content: "\f830"; }
.bi-sign-turn-right-fill::before { content: "\f831"; }
.bi-sign-turn-right::before { content: "\f832"; }
.bi-sign-turn-slight-left-fill::before { content: "\f833"; }
.bi-sign-turn-slight-left::before { content: "\f834"; }
.bi-sign-turn-slight-right-fill::before { content: "\f835"; }
.bi-sign-turn-slight-right::before { content: "\f836"; }
.bi-sign-yield-fill::before { content: "\f837"; }
.bi-sign-yield::before { content: "\f838"; }
.bi-ev-station-fill::before { content: "\f839"; }
.bi-ev-station::before { content: "\f83a"; }
.bi-fuel-pump-diesel-fill::before { content: "\f83b"; }
.bi-fuel-pump-diesel::before { content: "\f83c"; }
.bi-fuel-pump-fill::before { content: "\f83d"; }
.bi-fuel-pump::before { content: "\f83e"; }
.bi-0-circle-fill::before { content: "\f83f"; }
.bi-0-circle::before { content: "\f840"; }
.bi-0-square-fill::before { content: "\f841"; }
.bi-0-square::before { content: "\f842"; }
.bi-rocket-fill::before { content: "\f843"; }
.bi-rocket-takeoff-fill::before { content: "\f844"; }
.bi-rocket-takeoff::before { content: "\f845"; }
.bi-rocket::before { content: "\f846"; }
.bi-stripe::before { content: "\f847"; }
.bi-subscript::before { content: "\f848"; }
.bi-superscript::before { content: "\f849"; }
.bi-trello::before { content: "\f84a"; }
.bi-envelope-at-fill::before { content: "\f84b"; }
.bi-envelope-at::before { content: "\f84c"; }
.bi-regex::before { content: "\f84d"; }
.bi-text-wrap::before { content: "\f84e"; }
.bi-sign-dead-end-fill::before { content: "\f84f"; }
.bi-sign-dead-end::before { content: "\f850"; }
.bi-sign-do-not-enter-fill::before { content: "\f851"; }
.bi-sign-do-not-enter::before { content: "\f852"; }
.bi-sign-intersection-fill::before { content: "\f853"; }
.bi-sign-intersection-side-fill::before { content: "\f854"; }
.bi-sign-intersection-side::before { content: "\f855"; }
.bi-sign-intersection-t-fill::before { content: "\f856"; }
.bi-sign-intersection-t::before { content: "\f857"; }
.bi-sign-intersection-y-fill::before { content: "\f858"; }
.bi-sign-intersection-y::before { content: "\f859"; }
.bi-sign-intersection::before { content: "\f85a"; }
.bi-sign-merge-left-fill::before { content: "\f85b"; }
.bi-sign-merge-left::before { content: "\f85c"; }
.bi-sign-merge-right-fill::before { content: "\f85d"; }
.bi-sign-merge-right::before { content: "\f85e"; }
.bi-sign-no-left-turn-fill::before { content: "\f85f"; }
.bi-sign-no-left-turn::before { content: "\f860"; }
.bi-sign-no-parking-fill::before { content: "\f861"; }
.bi-sign-no-parking::before { content: "\f862"; }
.bi-sign-no-right-turn-fill::before { content: "\f863"; }
.bi-sign-no-right-turn::before { content: "\f864"; }
.bi-sign-railroad-fill::before { content: "\f865"; }
.bi-sign-railroad::before { content: "\f866"; }
.bi-building-add::before { content: "\f867"; }
.bi-building-check::before { content: "\f868"; }
.bi-building-dash::before { content: "\f869"; }
.bi-building-down::before { content: "\f86a"; }
.bi-building-exclamation::before { content: "\f86b"; }
.bi-building-fill-add::before { content: "\f86c"; }
.bi-building-fill-check::before { content: "\f86d"; }
.bi-building-fill-dash::before { content: "\f86e"; }
.bi-building-fill-down::before { content: "\f86f"; }
.bi-building-fill-exclamation::before { content: "\f870"; }
.bi-building-fill-gear::before { content: "\f871"; }
.bi-building-fill-lock::before { content: "\f872"; }
.bi-building-fill-slash::before { content: "\f873"; }
.bi-building-fill-up::before { content: "\f874"; }
.bi-building-fill-x::before { content: "\f875"; }
.bi-building-fill::before { content: "\f876"; }
.bi-building-gear::before { content: "\f877"; }
.bi-building-lock::before { content: "\f878"; }
.bi-building-slash::before { content: "\f879"; }
.bi-building-up::before { content: "\f87a"; }
.bi-building-x::before { content: "\f87b"; }
.bi-buildings-fill::before { content: "\f87c"; }
.bi-buildings::before { content: "\f87d"; }
.bi-bus-front-fill::before { content: "\f87e"; }
.bi-bus-front::before { content: "\f87f"; }
.bi-ev-front-fill::before { content: "\f880"; }
.bi-ev-front::before { content: "\f881"; }
.bi-globe-americas::before { content: "\f882"; }
.bi-globe-asia-australia::before { content: "\f883"; }
.bi-globe-central-south-asia::before { content: "\f884"; }
.bi-globe-europe-africa::before { content: "\f885"; }
.bi-house-add-fill::before { content: "\f886"; }
.bi-house-add::before { content: "\f887"; }
.bi-house-check-fill::before { content: "\f888"; }
.bi-house-check::before { content: "\f889"; }
.bi-house-dash-fill::before { content: "\f88a"; }
.bi-house-dash::before { content: "\f88b"; }
.bi-house-down-fill::before { content: "\f88c"; }
.bi-house-down::before { content: "\f88d"; }
.bi-house-exclamation-fill::before { content: "\f88e"; }
.bi-house-exclamation::before { content: "\f88f"; }
.bi-house-gear-fill::before { content: "\f890"; }
.bi-house-gear::before { content: "\f891"; }
.bi-house-lock-fill::before { content: "\f892"; }
.bi-house-lock::before { content: "\f893"; }
.bi-house-slash-fill::before { content: "\f894"; }
.bi-house-slash::before { content: "\f895"; }
.bi-house-up-fill::before { content: "\f896"; }
.bi-house-up::before { content: "\f897"; }
.bi-house-x-fill::before { content: "\f898"; }
.bi-house-x::before { content: "\f899"; }
.bi-person-add::before { content: "\f89a"; }
.bi-person-down::before { content: "\f89b"; }
.bi-person-exclamation::before { content: "\f89c"; }
.bi-person-fill-add::before { content: "\f89d"; }
.bi-person-fill-check::before { content: "\f89e"; }
.bi-person-fill-dash::before { content: "\f89f"; }
.bi-person-fill-down::before { content: "\f8a0"; }
.bi-person-fill-exclamation::before { content: "\f8a1"; }
.bi-person-fill-gear::before { content: "\f8a2"; }
.bi-person-fill-lock::before { content: "\f8a3"; }
.bi-person-fill-slash::before { content: "\f8a4"; }
.bi-person-fill-up::before { content: "\f8a5"; }
.bi-person-fill-x::before { content: "\f8a6"; }
.bi-person-gear::before { content: "\f8a7"; }
.bi-person-lock::before { content: "\f8a8"; }
.bi-person-slash::before { content: "\f8a9"; }
.bi-person-up::before { content: "\f8aa"; }
.bi-scooter::before { content: "\f8ab"; }
.bi-taxi-front-fill::before { content: "\f8ac"; }
.bi-taxi-front::before { content: "\f8ad"; }
.bi-amd::before { content: "\f8ae"; }
.bi-database-add::before { content: "\f8af"; }
.bi-database-check::before { content: "\f8b0"; }
.bi-database-dash::before { content: "\f8b1"; }
.bi-database-down::before { content: "\f8b2"; }
.bi-database-exclamation::before { content: "\f8b3"; }
.bi-database-fill-add::before { content: "\f8b4"; }
.bi-database-fill-check::before { content: "\f8b5"; }
.bi-database-fill-dash::before { content: "\f8b6"; }
.bi-database-fill-down::before { content: "\f8b7"; }
.bi-database-fill-exclamation::before { content: "\f8b8"; }
.bi-database-fill-gear::before { content: "\f8b9"; }
.bi-database-fill-lock::before { content: "\f8ba"; }
.bi-database-fill-slash::before { content: "\f8bb"; }
.bi-database-fill-up::before { content: "\f8bc"; }
.bi-database-fill-x::before { content: "\f8bd"; }
.bi-database-fill::before { content: "\f8be"; }
.bi-database-gear::before { content: "\f8bf"; }
.bi-database-lock::before { content: "\f8c0"; }
.bi-database-slash::before { content: "\f8c1"; }
.bi-database-up::before { content: "\f8c2"; }
.bi-database-x::before { content: "\f8c3"; }
.bi-database::before { content: "\f8c4"; }
.bi-houses-fill::before { content: "\f8c5"; }
.bi-houses::before { content: "\f8c6"; }
.bi-nvidia::before { content: "\f8c7"; }
.bi-person-vcard-fill::before { content: "\f8c8"; }
.bi-person-vcard::before { content: "\f8c9"; }
.bi-sina-weibo::before { content: "\f8ca"; }
.bi-tencent-qq::before { content: "\f8cb"; }
.bi-wikipedia::before { content: "\f8cc"; }
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.bi-alphabet-uppercase::before { content: "\f2a5"; }
.bi-alphabet::before { content: "\f68a"; }
.bi-amazon::before { content: "\f68d"; }
.bi-arrows-collapse-vertical::before { content: "\f690"; }
.bi-arrows-expand-vertical::before { content: "\f695"; }
.bi-arrows-vertical::before { content: "\f698"; }
.bi-arrows::before { content: "\f6a2"; }
.bi-ban-fill::before { content: "\f6a3"; }
.bi-ban::before { content: "\f6b6"; }
.bi-bing::before { content: "\f6c2"; }
.bi-cake::before { content: "\f6e0"; }
.bi-cake2::before { content: "\f6ed"; }
.bi-cookie::before { content: "\f6ee"; }
.bi-copy::before { content: "\f759"; }
.bi-crosshair::before { content: "\f769"; }
.bi-crosshair2::before { content: "\f794"; }
.bi-emoji-astonished-fill::before { content: "\f795"; }
.bi-emoji-astonished::before { content: "\f79a"; }
.bi-emoji-grimace-fill::before { content: "\f79b"; }
.bi-emoji-grimace::before { content: "\f7a0"; }
.bi-emoji-grin-fill::before { content: "\f7a1"; }
.bi-emoji-grin::before { content: "\f7a6"; }
.bi-emoji-surprise-fill::before { content: "\f7a7"; }
.bi-emoji-surprise::before { content: "\f7ac"; }
.bi-emoji-tear-fill::before { content: "\f7ad"; }
.bi-emoji-tear::before { content: "\f7b2"; }
.bi-envelope-arrow-down-fill::before { content: "\f7b3"; }
.bi-envelope-arrow-down::before { content: "\f7b8"; }
.bi-envelope-arrow-up-fill::before { content: "\f7b9"; }
.bi-envelope-arrow-up::before { content: "\f7be"; }
.bi-feather::before { content: "\f7bf"; }
.bi-feather2::before { content: "\f7c4"; }
.bi-floppy-fill::before { content: "\f7c5"; }
.bi-floppy::before { content: "\f7d8"; }
.bi-floppy2-fill::before { content: "\f7d9"; }
.bi-floppy2::before { content: "\f7e4"; }
.bi-gitlab::before { content: "\f7e5"; }
.bi-highlighter::before { content: "\f7f8"; }
.bi-marker-tip::before { content: "\f802"; }
.bi-nvme-fill::before { content: "\f803"; }
.bi-nvme::before { content: "\f80c"; }
.bi-opencollective::before { content: "\f80d"; }
.bi-pci-card-network::before { content: "\f8cd"; }
.bi-pci-card-sound::before { content: "\f8ce"; }
.bi-radar::before { content: "\f8cf"; }
.bi-send-arrow-down-fill::before { content: "\f8d0"; }
.bi-send-arrow-down::before { content: "\f8d1"; }
.bi-send-arrow-up-fill::before { content: "\f8d2"; }
.bi-send-arrow-up::before { content: "\f8d3"; }
.bi-sim-slash-fill::before { content: "\f8d4"; }
.bi-sim-slash::before { content: "\f8d5"; }
.bi-sourceforge::before { content: "\f8d6"; }
.bi-substack::before { content: "\f8d7"; }
.bi-threads-fill::before { content: "\f8d8"; }
.bi-threads::before { content: "\f8d9"; }
.bi-transparency::before { content: "\f8da"; }
.bi-twitter-x::before { content: "\f8db"; }
.bi-type-h4::before { content: "\f8dc"; }
.bi-type-h5::before { content: "\f8dd"; }
.bi-type-h6::before { content: "\f8de"; }
.bi-backpack-fill::before { content: "\f8df"; }
.bi-backpack::before { content: "\f8e0"; }
.bi-backpack2-fill::before { content: "\f8e1"; }
.bi-backpack2::before { content: "\f8e2"; }
.bi-backpack3-fill::before { content: "\f8e3"; }
.bi-backpack3::before { content: "\f8e4"; }
.bi-backpack4-fill::before { content: "\f8e5"; }
.bi-backpack4::before { content: "\f8e6"; }
.bi-brilliance::before { content: "\f8e7"; }
.bi-cake-fill::before { content: "\f8e8"; }
.bi-cake2-fill::before { content: "\f8e9"; }
.bi-duffle-fill::before { content: "\f8ea"; }
.bi-duffle::before { content: "\f8eb"; }
.bi-exposure::before { content: "\f8ec"; }
.bi-gender-neuter::before { content: "\f8ed"; }
.bi-highlights::before { content: "\f8ee"; }
.bi-luggage-fill::before { content: "\f8ef"; }
.bi-luggage::before { content: "\f8f0"; }
.bi-mailbox-flag::before { content: "\f8f1"; }
.bi-mailbox2-flag::before { content: "\f8f2"; }
.bi-noise-reduction::before { content: "\f8f3"; }
.bi-passport-fill::before { content: "\f8f4"; }
.bi-passport::before { content: "\f8f5"; }
.bi-person-arms-up::before { content: "\f8f6"; }
.bi-person-raised-hand::before { content: "\f8f7"; }
.bi-person-standing-dress::before { content: "\f8f8"; }
.bi-person-standing::before { content: "\f8f9"; }
.bi-person-walking::before { content: "\f8fa"; }
.bi-person-wheelchair::before { content: "\f8fb"; }
.bi-shadows::before { content: "\f8fc"; }
.bi-suitcase-fill::before { content: "\f8fd"; }
.bi-suitcase-lg-fill::before { content: "\f8fe"; }
.bi-suitcase-lg::before { content: "\f8ff"; }
.bi-suitcase::before { content: "\f900"; }
.bi-suitcase2-fill::before { content: "\f901"; }
.bi-suitcase2::before { content: "\f902"; }
.bi-vignette::before { content: "\f903"; }
2024-01-06 09:41:26 +00:00
< / style >
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< link href = "data:text/css,%3Aroot%2C%5Bdata%2Dbs%2Dtheme%3Dlight%5D%7B%2D%2Dbs%2Dblue%3A%20%230d6efd%3B%2D%2Dbs%2Dindigo%3A%20%236610f2%3B%2D%2Dbs%2Dpurple%3A%20%236f42c1%3B%2D%2Dbs%2Dpink%3A%20%23d63384%3B%2D%2Dbs%2Dred%3A%20%23dc3545%3B%2D%2Dbs%2Dorange%3A%20%23fd7e14%3B%2D%2Dbs%2Dyellow%3A%20%23ffc107%3B%2D%2Dbs%2Dgreen%3A%20%23198754%3B%2D%2Dbs%2Dteal%3A%20%2320c997%3B%2D%2Dbs%2Dcyan%3A%20%230dcaf0%3B%2D%2Dbs%2Dblack%3A%20%23000%3B%2D%2Dbs%2Dwhite%3A%20%23ffffff%3B%2D%2Dbs%2Dgray%3A%20%236c757d%3B%2D%2Dbs%2Dgray%2Ddark%3A%20%23343a40%3B%2D%2Dbs%2Dgray%2D100%3A%20%23f8f9fa%3B%2D%2Dbs%2Dgray%2D200%3A%20%23e9ecef%3B%2D%2Dbs%2Dgray%2D300%3A%20%23dee2e6%3B%2D%2Dbs%2Dgray%2D400%3A%20%23ced4da%3B%2D%2Dbs%2Dgray%2D500%3A%20%23adb5bd%3B%2D%2Dbs%2Dgray%2D600%3A%20%236c757d%3B%2D%2Dbs%2Dgray%2D700%3A%20%23495057%3B%2D%2Dbs%2Dgray%2D800%3A%20%23343a40%3B%2D%2Dbs%2Dgray%2D900%3A%20%23212529%3B%2D%2Dbs%2Ddefault%3A%20%23dee2e6%3B%2D%2Dbs%2Dprimary%3A%20%230d6efd%3B%2D%2Dbs%2Dsecondary%3A%20%236c757d%3B%2D%2Dbs%2Dsuccess%3A%20%23198754%3B%2D%2Dbs%2Dinfo%3A%20%230dcaf0%3B%2D%2Dbs%2Dwarning%3A%20%23ffc107%3B%2D%2Dbs%2Ddanger%3A%20%23dc3545%3B%2D%2Dbs%2Dlight%3A%20%23f8f9fa%3B%2D%2Dbs%2Ddark%3A%20%23212529%3B%2D%2Dbs%2Ddefault%2Drgb%3A%20222%2C%20226%2C%20230%3B%2D%2Dbs%2Dprimary%2Drgb%3A%2013%2C%20110%2C%20253%3B%2D%2Dbs%2Dsecondary%2Drgb%3A%20108%2C%20117%2C%20125%3B%2D%2Dbs%2Dsuccess%2Drgb%3A%2025%2C%20135%2C%2084%3B%2D%2Dbs%2Dinfo%2Drgb%3A%2013%2C%20202%2C%20240%3B%2D%2Dbs%2Dwarning%2Drgb%3A%20255%2C%20193%2C%207%3B%2D%2Dbs%2Ddanger%2Drgb%3A%20220%2C%2053%2C%2069%3B%2D%2Dbs%2Dlight%2Drgb%3A%20248%2C%20249%2C%20250%3B%2D%2Dbs%2Ddark%2Drgb%3A%2033%2C%2037%2C%2041%3B%2D%2Dbs%2Dprimary%2Dtext%2Demphasis%3A%20%23052c65%3B%2D%2Dbs%2Dsecondary%2Dtext%2Demphasis%3A%20%232b2f32%3B%2D%2Dbs%2Dsuccess%2Dtext%2Demphasis%3A%20%230a3622%3B%2D%2Dbs%2Dinfo%2Dtext%2Demphasis%3A%20%23055160%3B%2D%2Dbs%2Dwarning%2Dtext%2Demphasis%3A%20%23664d03%3B%2D%2Dbs%2Ddanger%2Dtext%2Demphasis%3A%20%2358151c%3B%2D%2Dbs%2Dlight%2Dtext%2Demphasis%3A%20%23495057%3B%2D%2Dbs%2Ddark%2Dtext%2Demphasis%3A%20%23495057%3B%2D%2Dbs%2Dprimary%2Dbg%2Dsubtle%3A%20%23cfe2ff%3B%2D%2Dbs%2Dsecondary%2Dbg%2Dsubtle%3A%20%23e2e3e5%3B%2D%2Dbs%2Dsuccess%2Dbg%2Dsubtle%3A%20%23d1e7dd%3B%2D%2Dbs%2Dinfo%2Dbg%2Dsubtle%3A%20%23cff4fc%3B%2D%2Dbs%2Dwarning%2Dbg%2Dsubtle%3A%20%23fff3cd%3B%2D%2Dbs%2Ddanger%2Dbg%2Dsubtle%3A%20%23f8d7da%3B%2D%2Dbs%2Dlight%2Dbg%2Dsubtle%3A%20%23fcfcfd%3B%2D%2Dbs%2Ddark%2Dbg%2Dsubtle%3A%20%23ced4da%3B%2D%2Dbs%2Dprimary%2Dborder%2Dsubtle%3A%20%239ec5fe%3B%2D%2Dbs%2Dsecondary%2Dborder%2Dsubtle%3A%20%23c4c8cb%3B%2D%2Dbs%2Dsuccess%2Dborder%2Dsubtle%3A%20%23a3cfbb%3B%2D%2Dbs%2Dinfo%2Dborder%2Dsubtle%3A%20%239eeaf9%3B%2D%2Dbs%2Dwarning%2Dborder%2Dsubtle%3A%20%23ffe69c%3B%2D%2Dbs%2Ddanger%2Dborder%2Dsubtle%3A%20%23f1aeb5%3B%2D%2Dbs%2Dlight%2Dborder%2Dsubtle%3A%20%23e9ecef%3B%2D%2Dbs%2Ddark%2Dborder%2Dsubtle%3A%20%23adb5bd%3B%2D%2Dbs%2Dwhite%2Drgb%3A%20255%2C%20255%2C%20255%3B%2D%2Dbs%2Dblack%2Drgb%3A%200%2C%200%2C%200%3B%2D%2Dbs%2Dfont%2Dsans%2Dserif%3A%20system%2Dui%2C%20%2Dapple%2Dsystem%2C%20%22Segoe%20UI%22%2C%20Roboto%2C%20%22Helvetica%20Neue%22%2C%20%22Noto%20Sans%22%2C%20%22Liberation%20Sans%22%2C%20Arial%2C%20sans%2Dserif%2C%20%22Apple%20Color%20Emoji%22%2C%20%22Segoe%20UI%20Emoji%22%2C%20%22Segoe%20UI%20Symbol%22%2C%20%22Noto%20Color%20Emoji%22%3B%2D%2Dbs%2Dfont%2Dmonospace%3A%20SFMono%2DRegular%2C%20Menlo%2C%20Monaco%2C%20Consolas%2C%20%22Liberation%20Mono%22%2C%20%22Courier%20New%22%2C%20monospace%3B%2D%2Dbs%2Dgradient%3A%20linear%2Dgradient%28180deg%2C%20rgba%28255%2C%20255%2C%20255%2C%200%2E15%29%2C%20rgba%28255%2C%20255%2C%20255%2C%200%29%29%3B%2D%2Dbs%2Droot%2Dfont%2Dsize%3A%2017px%3B%2D%2Dbs%2Dbody%2Dfont%2Dfamily%3A%20system%2Dui%2C%20%2Dapple%2Dsystem%2C%20%22Segoe%20UI%22%2C%20Roboto%2C%20%22Helvetica%20Neue%22%2C%20%22Noto%20Sans%22%2C%20%22Liberation%20Sans%22%2C%20Arial%2C%20sans%2Dserif%2C%20%22Apple%20Color%20Emoji%22%2C%20%22Segoe%20UI%20Emoji%22%2C%20%22Segoe%20UI%20Symbol%22%2C%20%22Noto%20Color%20Emoji%22%3B%2D%2Dbs%2Dbody%2Dfont%2Dsize%3A1rem%
< script > ! f u n c t i o n ( ) { " u s e s t r i c t " ; v a r s = { " s c r i p t s / a n n o t a t o r . b u n d l e . j s " : " s c r i p t s / a n n o t a t o r . b u n d l e . j s ? 1 3 c 5 e d " , " s t y l e s / a n n o t a t o r . c s s " : " s t y l e s / a n n o t a t o r . c s s ? e c 7 2 d 0 " , " s t y l e s / a n n o t a t o r . c s s . m a p " : " s t y l e s / a n n o t a t o r . c s s . m a p ? d e 3 8 1 8 " , " s t y l e s / h i g h l i g h t s . c s s " : " s t y l e s / h i g h l i g h t s . c s s ? 6 b 4 e b d " , " s t y l e s / h i g h l i g h t s . c s s . m a p " : " s t y l e s / h i g h l i g h t s . c s s . m a p ? 2 4 1 3 5 0 " , " s t y l e s / k a t e x . m i n . c s s " : " s t y l e s / k a t e x . m i n . c s s ? e 1 7 9 a b " , " s t y l e s / k a t e x . m i n . c s s . m a p " : " s t y l e s / k a t e x . m i n . c s s . m a p ? c d 8 c 0 e " , " s t y l e s / p d f j s - o v e r r i d e s . c s s " : " s t y l e s / p d f j s - o v e r r i d e s . c s s ? c 9 5 e d f " , " s t y l e s / p d f j s - o v e r r i d e s . c s s . m a p " : " s t y l e s / p d f j s - o v e r r i d e s . c s s . m a p ? 1 d 8 a c 6 " , " s t y l e s / s i d e b a r . c s s . m a p " : " s t y l e s / s i d e b a r . c s s . m a p ? 1 9 8 4 a 9 " , " s t y l e s / u i - p l a y g r o u n d . c s s " : " s t y l e s / u i - p l a y g r o u n d . c s s ? d b 6 1 7 4 " , " s t y l e s / s i d e b a r . c s s " : " s t y l e s / s i d e b a r . c s s ? 1 3 d 7 2 8 " , " s t y l e s / u i - p l a y g r o u n d . c s s . m a p " : " s t y l e s / u i - p l a y g r o u n d . c s s . m a p ? e c 0 1 7 3 " , " s c r i p t s / u i - p l a y g r o u n d . b u n d l e . j s " : " s c r i p t s / u i - p l a y g r o u n d . b u n d l e . j s ? 0 6 6 3 e 4 " , " s c r i p t s / s i d e b a r . b u n d l e . j s " : " s c r i p t s / s i d e b a r . b u n d l e . j s ? a 5 d 9 4 7 " , " s c r i p t s / a n n o t a t o r . b u n d l e . j s . m a p " : " s c r i p t s / a n n o t a t o r . b u n d l e . j s . m a p ? e d 4 8 7 e " , " s c r i p t s / u i - p l a y g r o u n d . b u n d l e . j s . m a p " : " s c r i p t s / u i - p l a y g r o u n d . b u n d l e . j s . m a p ? 0 a d 0 c d " , " s c r i p t s / s i d e b a r . b u n d l e . j s . m a p " : " s c r i p t s / s i d e b a r . b u n d l e . j s . m a p ? 4 1 5 b 4 2 " } ; f u n c t i o n t ( s ) { s . s e t A t t r i b u t e ( " d a t a - h y p o t h e s i s - a s s e t " , " " ) } f u n c t i o n e ( s , e ) { v a r n = s . c r e a t e E l e m e n t ( " l i n k " ) ; n . r e l = " s t y l e s h e e t " , n . t y p e = " t e x t / c s s " , n . h r e f = e , t ( n ) , s . h e a d . a p p e n d C h i l d ( n ) } f u n c t i o n n ( s , e ) { v a r n = a r g u m e n t s . l e n g t h > 2 & & v o i d 0 ! = = a r g u m e n t s [ 2 ] ? a r g u m e n t s [ 2 ] : { } , r = n . e s M o d u l e , o = v o i d 0 = = = r | | r , i = n . f o r c e R e l o a d , a = v o i d 0 ! = = i & & i , l = s . c r e a t e E l e m e n t ( " s c r i p t " ) ; o & & ( l . t y p e = " m o d u l e " ) , a & & ( e + = " # t s = " . c o n c a t ( D a t e . n o w ( ) ) ) , l . s r c = e , l . a s y n c = ! 1 , t ( l ) , s . h e a d . a p p e n d C h i l d ( l ) } f u n c t i o n r ( s , e , n , r ) { v a r o = s . c r e a t e E l e m e n t ( " l i n k " ) ; o . r e l = e , o . h r e f = r , o . t y p e = " a p p l i c a t i o n / a n n o t a t o r + " . c o n c a t ( n ) , t ( o ) , s . h e a d . a p p e n d C h i l d ( o ) } f u n c t i o n o ( s , e , n ) { v a r r = s . c r e a t e E l e m e n t ( " l i n k " ) ; r . r e l = " p r e l o a d " , r . a s = e , r . h r e f = n , " f e t c h " = = = e & & ( r . c r o s s O r i g i n = " a n o n y m o u s " ) , t ( r ) , s . h e a d . a p p e n d C h i l d ( r ) } f u n c t i o n i ( s , t ) { r e t u r n s . a s s e t R o o t + " b u i l d / " + s . m a n i f e s t [ t ] } f u n c t i o n a ( s ) { v a r t = a r g u m e n t s . l e n g t h > 1 & & v o i d 0 ! = = a r g u m e n t s [ 1 ] ? a r g u m e n t s [ 1 ] : d o c u m e n t ; i f ( - 1 = = = s . i n d e x O f ( " { " ) ) r e t u r n s ; v a r e = f u n c t i o n ( ) { v a r s , t , e = ( a r g u m e n t s . l e n g t h > 0 & & v o i d 0 ! = = a r g u m e n t s [ 0 ] ? a r g u m e n t s [ 0 ] : d o c u m e n t ) . c u r r e n t S c r i p t ; r e t u r n e ? ( s = e . s r c , ( t = s . m a t c h ( / ( h t t p s ? ) : \ / \ / ( [ ^ : / ] + ) / ) ) ? { p r o t o c o l : t [ 1 ] , h o s t n a m e : t [ 2 ] } : n u l l ) : n u l l } ( t ) ; i f ( ! e ) t h r o w n e w E r r o r ( " C o u l d n o t p r o c e s s U R L t e m p l a t e b e c a u s e s c r i p t o r i g i n i s u n k n o w n " ) ; r e t u r n s = ( s = s . r e p l a c e ( " { c u r r e n t _ h o s t } " , e . h o s t n a m e ) ) . r e p l a c e ( " { c u r r e n t _ s c h e m e } " , e . p r o t o c o l ) } i f ( f u n c t i o n ( ) { v a r s = [ f u n c t i o n ( ) { r e t u r n O b j e c t . f r o m E n t r i e s ( [ ] ) } , f u n c t i o n ( ) { r e t u r n n e w U R L ( d o c u m e n t . l o c a t i o n . h r e f ) } , f u n c t i o n ( ) { r e t u r n n e w R e q u e s t ( " h t t p s : / / h y p o t h e s . i s " ) } , f u n c t i o n ( ) { r e t u r n E l e m e n t . p r o t o t y p e . a t t a c h S h a d o w } , f u n c t i o n ( ) { r e t u r n C S S . s u p p o r t s ( " d i s p l a y : g r i d " ) } , f u n c t i o n ( ) { r e t u r n d o c u m e n t . e v a l u a t e ( " / h t m l / b o d y " , d o c u m e n t , n u l l , X P a t h R e s u l t . A N Y _ T Y P E , n u l l ) , ! 0 } ] ; t r y { r e t u r n s . e v e r y ( ( f u n c t i o n ( s ) { r e t u r n s ( ) } ) ) } c a t c h ( s ) { r e t u r n ! 1 } } ( ) ) { v a r l = f u n c t i o n ( s ) { f o r ( v a r t = { } , e = s . q u e r y S e l e c t o r A l l ( " s c r i p t . j s - h y p o t h e s i s - c o n f i g " ) , n = 0 ; n < e . l e n g t h ; n + + ) { v a r r = v o i d 0 ; t r y { r = J S O N . p a r s e ( e [ n ] . t e x t C o n t e n t | | " " ) } c a t c h ( s ) { c o n s o l e . w a r n ( " C o u l d n o t p a r s e s e t t i n g s f r o m j s - h y p o t h e s i s - c o n f i g t a g s " , s ) , r = { } } O b j e c t . a s s i g n ( t , r ) } r e t u r n t } ( d o c u m e n t ) , c = a ( l . a s s e t R o o t | | " h t t p s : / / c d n . h y p o t h e s . i s / h y p o t h e s i s / 1 . 1 4 6 4 . 0 / " ) ; i f ( d o c u m e n t . q u e r y S e l e c t o r ( " h y p o t h e s i s - a p p " ) ) { ! f u n c t i o n ( s , t ) { o ( s , " f e t c h " , t . a p i U r l ) , o ( s , " f e t c h " , t . a p i U r l + " l i n k s " ) ; f o r ( v a r r = 0 , a = [ " s c r i p t s / s i d e b a r . b u n d l e . j s " ] ; r < a . l e n g t h ; r + + ) n ( s , i ( t , a [ r ] ) , { e s M o d u l e : ! 0 } ) ; f o r ( v a r l = 0 , c = [ " s t y l e s / k a t e x . m i n . c s s " , " s t y l e s / s i d e b a r . c s s " ] ; l < c . l e n g t h ; l + + ) e ( s , i ( t , c [ l ] ) ) } ( d o c u m e n t , { a s s e t R o o t : c , m a n i f e s t : s , a p i U r l : l . a p i U r l } ) } e l s e { v a r p = f u n c t i o n ( ) { v a r s ; r e t u r n n u l l = = = ( s = ( a r g u m e n t s . l e n g t h > 0 & & v o i d 0 ! = = a r g u m e n t s [ 0 ] ? a r g u m e n t s [ 0 ] : w i n d o w ) . c h r o m e ) | | v o i d 0 = = = s | | n u l l = = = ( s = s . r u n t i m e ) | | v o i d 0 = = = s ? v o i d 0 : s . i d } ( ) ; i f ( p & & ! f u n c t i o n ( s ) { r e t u r n ! ! ( a r g u m e n t s . l e n g t h > 1 & & v o i d 0 ! = = a r g u m e n t s [ 1 ] ? a r g u m e n t s [ 1 ] : d o c u m e n t ) . q u e r y S e l e c t o r ( " s c r i p t . j s - h y p o t h e s i s - c o n f i g [ d a t a - e x t e n s i o n - i d = " . c o n c a t ( s , " ] " ) ) } ( p ) ) t h r o w n e w E r r o r ( " C o u l d n o t s t a r t H y p o t h e s i s e x t e n s i o n a s c o n f i g u r a t i o n i s m i s s i n g " ) ; v a r d = l , u = a ( d . n o t e b o o k A p p U r l | | " h t t p s : / / h y p o t h e s . i s / n
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< div id = "quarto-content" class = "page-columns page-rows-contents page-layout-article" >
< div id = "quarto-margin-sidebar" class = "sidebar margin-sidebar" >
< nav id = "TOC" role = "doc-toc" class = "toc-active" >
< h2 id = "toc-title" > Table of contents< / h2 >
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< li > < a href = "#text-summary-of-review-search-and-extraction-process" id = "toc-text-summary-of-review-search-and-extraction-process" class = "nav-link active" data-scroll-target = "#text-summary-of-review-search-and-extraction-process" > < span class = "header-section-number" > 1< / span > Text summary of review search and extraction process< / a >
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< li > < a href = "#what-we-search-for-and-why" id = "toc-what-we-search-for-and-why" class = "nav-link" data-scroll-target = "#what-we-search-for-and-why" > < span class = "header-section-number" > 1.1< / span > WHAT we search for and WHY< / a > < / li >
< li > < a href = "#how-we-search" id = "toc-how-we-search" class = "nav-link" data-scroll-target = "#how-we-search" > < span class = "header-section-number" > 1.2< / span > HOW we search< / a > < / li >
< li > < a href = "#how-we-extract-from-it" id = "toc-how-we-extract-from-it" class = "nav-link" data-scroll-target = "#how-we-extract-from-it" > < span class = "header-section-number" > 1.3< / span > HOW we extract from it< / a > < / li >
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< li > < a href = "#bullet-points-possible-slides" id = "toc-bullet-points-possible-slides" class = "nav-link" data-scroll-target = "#bullet-points-possible-slides" > < span class = "header-section-number" > 2< / span > Bullet-points / Possible Slides< / a >
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< li > < a href = "#sec-clusters" id = "toc-sec-clusters" class = "nav-link" data-scroll-target = "#sec-clusters" > < span class = "header-section-number" > 2.1< / span > Term cluster areas< / a > < / li >
< li > < a href = "#sec-terms-example" id = "toc-sec-terms-example" class = "nav-link" data-scroll-target = "#sec-terms-example" > < span class = "header-section-number" > 2.2< / span > Inequalities term cluster example< / a > < / li >
< li > < a href = "#sec-criteria" id = "toc-sec-criteria" class = "nav-link" data-scroll-target = "#sec-criteria" > < span class = "header-section-number" > 2.3< / span > Inclusion criteria< / a > < / li >
< li > < a href = "#sec-search" id = "toc-sec-search" class = "nav-link" data-scroll-target = "#sec-search" > < span class = "header-section-number" > 2.4< / span > The Search Process< / a > < / li >
< li > < a href = "#sec-identification" id = "toc-sec-identification" class = "nav-link" data-scroll-target = "#sec-identification" > < span class = "header-section-number" > 2.5< / span > Identification< / a > < / li >
< li > < a href = "#sec-screening" id = "toc-sec-screening" class = "nav-link" data-scroll-target = "#sec-screening" > < span class = "header-section-number" > 2.6< / span > Screening< / a > < / li >
< li > < a href = "#sec-extraction" id = "toc-sec-extraction" class = "nav-link" data-scroll-target = "#sec-extraction" > < span class = "header-section-number" > 2.7< / span > Extraction< / a > < / li >
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< div class = "quarto-alternate-formats" > < h2 > Other Formats< / h2 > < ul > < li > < a href = "presentation_summary.docx" > < i class = "bi bi-file-word" > < / i > MS Word< / a > < / li > < li > < a href = "presentation_summary.pdf" > < i class = "bi bi-file-pdf" > < / i > PDF< / a > < / li > < / ul > < / div > < / nav >
< / div >
< main class = "content" id = "quarto-document-content" > < div class = "quarto-title-block" > < div class = "quarto-title-tools-only" > < h1 > < / h1 > < button type = "button" class = "btn code-tools-button" id = "quarto-code-tools-source" > < i class = "bi" > < / i > Code< / button > < / div > < / div >
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< section id = "text-summary-of-review-search-and-extraction-process" class = "level1" data-number = "1" >
< h1 data-number = "1" > < span class = "header-section-number" > 1< / span > Text summary of review search and extraction process< / h1 >
< section id = "what-we-search-for-and-why" class = "level2" data-number = "1.1" >
< h2 data-number = "1.1" class = "anchored" data-anchor-id = "what-we-search-for-and-why" > < span class = "header-section-number" > 1.1< / span > WHAT we search for and WHY< / h2 >
< p > We are undertaking a systematic scoping review mapping out the current academic state of the art for policies explicitly or implicitly aimed at reducing inequalities in the world of work. To arrive at a mapping which is as unbiased as possible, we closely follow the scoping review methodology proposed by Arksey and O’ < / p >
< p > The goal of this review strategy is to capture any possible coherent mechanisms of policy-making which positively influence the reduction of inequalities in the world of work and reach some measure of clarity on the extent and robustness of evidence in these areas.< / p >
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< p > ACCOMPANYING SLIDE < a href = "#sec-clusters" class = "quarto-xref" > Section < / a > < / p >
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< p > To achieve this, we follow the general typologies formulated by ILO for the world of work to find a definition of work, various forms of work and labour market adjacent outcomes to be measured. These provide one ‘ ’ < / p >
< p > These three clusters, taken together, then describe all domains which are of special interest in finding policies to reduce inequalities in the world of work.< / p >
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< p > ACCOMPANYING SLIDE < a href = "#sec-terms-example" class = "quarto-xref" > Section < / a > < / p >
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< p > They, together with specific inclusion criteria, provide the semantic baseline for the search: the terms and concepts for which studies will first be searched and later included or excluded from consideration in the actual search implementation.< / p >
< / section >
< section id = "how-we-search" class = "level2" data-number = "1.2" >
< h2 data-number = "1.2" class = "anchored" data-anchor-id = "how-we-search" > < span class = "header-section-number" > 1.2< / span > HOW we search< / h2 >
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< p > ACCOMPANYING SLIDE < a href = "#sec-search" class = "quarto-xref" > Section < / a > < / p >
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< p > The scoping review process itself consists of three consecutive steps: identification, screening and extraction.< / p >
< p > The goal of the identification process is to allow a wide-breadth net to be cast, including all possibly relevant material published on the topic to be identified and included in an initial sample pool of sources. To facilitate this process, two search methods are used:< / p >
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< p > ACCOMPANYING SLIDE < a href = "#sec-identification" class = "quarto-xref" > Section < / a > < / p >
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< p > Boolean-based searches of the extended World of Science corpus is the primary source of database literature. Then, relevant existing reviews are identified within and outside of this sample and used for a ‘ ’ < / p >
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< p > ACCOMPANYING SLIDE < a href = "#sec-screening" class = "quarto-xref" > Section < / a > < / p >
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< p > In the second scoping review step of screening, sources are systematically considered for their relevance from far-reading to close-reading techniques: first, sources are considered only based title; next, based on abstract; and only those sources remaining are screened for full-text relevance for the final extraction.< / p >
< p > The criteria applied within each screening step are the aforementioned inclusion/exclusion criteria, which are repeatedly applied in each step. A source which can not unambiguously be assigned to any one of the criteria which would exclude it will be left included in the sample pool for another closer-reading consideration at a later step, until the full-text review.< / p >
< p > Alongside the final full-text screening step, sources are assigned specific keyword ‘ ’ < em > Zotero< / em > reference manager.< / p >
< / section >
< section id = "how-we-extract-from-it" class = "level2" data-number = "1.3" >
< h2 data-number = "1.3" class = "anchored" data-anchor-id = "how-we-extract-from-it" > < span class = "header-section-number" > 1.3< / span > HOW we extract from it< / h2 >
< p > Extraction with the help of the extraction tool follows a strict grid of relevant data to extract from each source identified and screened as relevant. The extraction data to be pulled from each relevant source can be categorized into 4 overall dimensions: publication data, contextual data, results, and statistical data.< / p >
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< p > ACCOMPANYING SLIDE < a href = "#sec-extraction" class = "quarto-xref" > Section < / a > < / p >
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< p > Publication data captures the relevant information to uniquely identify the study under review, as well as identify its publication type and location. Results capture the primary of findings of a study, along with any suggested channels or mechanisms of operation, the theory they are basing them on if provided, and any limitations. They also capture the type of intervention under review as well as the types of inequalities, as well as any specific outcome measures.< / p >
< p > Contextual data represents all information given within the source as to the intervention’ < / p >
< p > Statistical data captures all study findings of statistical relevance: its sample size, level of representativeness, significance, but and if it is using relative or absolute indicators. It also captures the design (whether it was undertaken experimentally or observationally) and the methods used by the study.< / p >
< / section >
< / section >
< section id = "bullet-points-possible-slides" class = "level1" data-number = "2" >
< h1 data-number = "2" > < span class = "header-section-number" > 2< / span > Bullet-points / Possible Slides< / h1 >
< section id = "sec-clusters" class = "level2" data-number = "2.1" >
< h2 data-number = "2.1" class = "anchored" data-anchor-id = "sec-clusters" > < span class = "header-section-number" > 2.1< / span > Term cluster areas< / h2 >
< ul >
< li > < em > world of work< / em > cluster:
< ul >
< li > Definition of work< / li >
< li > Forms of work< / li >
< li > Labour market adjacent outcomes< / li >
< / ul > < / li >
< li > < em > policy< / em > cluster:
< ul >
< li > definition of policy< / li >
< li > institutional implementations< / li >
< li > structural implementations< / li >
< li > implementations of personal/collective agency< / li >
< / ul > < / li >
< li > < em > inequality< / em > cluster:
< ul >
< li > definition of inequalities< / li >
< li > vertical inequalities< / li >
< li > horizontal inequalities< / li >
< / ul > < / li >
< / ul >
< / section >
< section id = "sec-terms-example" class = "level2" data-number = "2.2" >
< h2 data-number = "2.2" class = "anchored" data-anchor-id = "sec-terms-example" > < span class = "header-section-number" > 2.2< / span > Inequalities term cluster example< / h2 >
< table class = "table" >
< thead >
< tr class = "header" >
< th > Defintion< / th >
< th > Vertical inequality< / th >
< th > Horizontal inequality< / th >
< / tr >
< / thead >
< tbody >
< tr class = "odd" >
< td > inequality< / td >
< td > income< / td >
< td > identity< / td >
< / tr >
< tr class = "even" >
< td > barrier< / td >
< td > class< / td >
< td > demographic< / td >
< / tr >
< tr class = "odd" >
< td > advantaged< / td >
< td > Gini< / td >
< td > gender< / td >
< / tr >
< tr class = "even" >
< td > disadvantaged< / td >
< td > Palma< / td >
< td > colour< / td >
< / tr >
< tr class = "odd" >
< td > discriminated< / td >
< td > Theil< / td >
< td > beliefs< / td >
< / tr >
< tr class = "even" >
< td > disparity< / td >
< td > Atkinson< / td >
< td > racial< / td >
< / tr >
< tr class = "odd" >
< td > horizontal inequality< / td >
< td > log deviation< / td >
< td > ethnic< / td >
< / tr >
< tr class = "even" >
< td > vertical inequality< / td >
< td > fertility< / td >
< td > migrant< / td >
< / tr >
< tr class = "odd" >
< td > < / td >
< td > bottom percentile< / td >
< td > spatial< / td >
< / tr >
< tr class = "even" >
< td > < / td >
< td > top percentile< / td >
< td > rural< / td >
< / tr >
< tr class = "odd" >
< td > < / td >
< td > < / td >
< td > urban< / td >
< / tr >
< tr class = "even" >
< td > < / td >
< td > < / td >
< td > small cities< / td >
< / tr >
< tr class = "odd" >
< td > < / td >
< td > < / td >
< td > peripherial cities< / td >
< / tr >
< tr class = "even" >
< td > < / td >
< td > < / td >
< td > age< / td >
< / tr >
< tr class = "odd" >
< td > < / td >
< td > < / td >
< td > nationality< / td >
< / tr >
< tr class = "even" >
< td > < / td >
< td > < / td >
< td > ethnicity< / td >
< / tr >
< tr class = "odd" >
< td > < / td >
< td > < / td >
< td > health status< / td >
< / tr >
< tr class = "even" >
< td > < / td >
< td > < / td >
< td > disability< / td >
< / tr >
< tr class = "odd" >
< td > < / td >
< td > < / td >
< td > characteristics< / td >
< / tr >
< / tbody >
< / table >
< / section >
< section id = "sec-criteria" class = "level2" data-number = "2.3" >
< h2 data-number = "2.3" class = "anchored" data-anchor-id = "sec-criteria" > < span class = "header-section-number" > 2.3< / span > Inclusion criteria< / h2 >
< table class = "table" >
< colgroup >
< col style = "width: 33%" >
< col style = "width: 33%" >
< col style = "width: 33%" >
< / colgroup >
< thead >
< tr class = "header" >
< th > Parameter< / th >
< th > Inclusion criteria< / th >
< th > Exclusion criteria< / th >
< / tr >
< / thead >
< tbody >
< tr class = "odd" >
< td > Time frame< / td >
< td > study published in or after 2000< / td >
< td > study published before 2000< / td >
< / tr >
< tr class = "even" >
< td > Study type< / td >
< td > primary research< / td >
< td > opinion piece, editorial, commentary, news article, literature review< / td >
< / tr >
< tr class = "odd" >
< td > Study recency< / td >
< td > most recent publication of study< / td >
< td > gray literature superseded by white literature publication< / td >
< / tr >
< tr class = "even" >
< td > Study focus< / td >
< td > inequality or labour market outcomes as primary outcome (dependent variable)< / td >
< td > neither inequality nor labour market outcomes as dependent variable< / td >
< / tr >
< tr class = "odd" >
< td > < / td >
< td > policy measure or strategy as primary intervention (independent variable)< / td >
< td > no policy measure/strategy as intervention or relationship unclear< / td >
< / tr >
< tr class = "even" >
< td > < / td >
< td > specifically relates to some dimension of world of work< / td >
< td > exists outside world of work for both independent and dependent variables< / td >
< / tr >
< tr class = "odd" >
< td > < / td >
< td > focus on dimension of inequality in analysis< / td >
< td > no focus on mention of inequality in analysis< / td >
< / tr >
< / tbody >
< / table >
< / section >
< section id = "sec-search" class = "level2" data-number = "2.4" >
< h2 data-number = "2.4" class = "anchored" data-anchor-id = "sec-search" > < span class = "header-section-number" > 2.4< / span > The Search Process< / h2 >
< ul >
< li > identification: create a sample of < em > all< / em > possibly relevant sources from current literature< / li >
< li > screening: separate irrelevant from relevant sources and map source characteristics< / li >
< li > extraction: pull out the relevant outcomes for which data were sought based on extraction tool from relevant studies only< / li >
< / ul >
< / section >
< section id = "sec-identification" class = "level2" data-number = "2.5" >
< h2 data-number = "2.5" class = "anchored" data-anchor-id = "sec-identification" > < span class = "header-section-number" > 2.5< / span > Identification< / h2 >
< ul >
< li > Database sources:
< ul >
< li > World of Science (Extended Corpus): white literature< / li >
< li > Google Scholar: possibly relevant grey literature< / li >
< / ul > < / li >
< li > Snowballing:
< ul >
< li > starting from existing relevant reviews contained in initial database results & additional relevant ones< / li >
< li > all contained citations extracted and added to identified sources< / li >
< / ul > < / li >
< li > Deduplication:
< ul >
< li > automated deduplication for exact source matches< / li >
< li > manual deduplication for inexact matches or superseding literature< / li >
< / ul > < / li >
< / ul >
< / section >
< section id = "sec-screening" class = "level2" data-number = "2.6" >
< h2 data-number = "2.6" class = "anchored" data-anchor-id = "sec-screening" > < span class = "header-section-number" > 2.6< / span > Screening< / h2 >
< ul >
< li > Repeated sorting out of irrelevant literature:
< ul >
< li > repeated process from far-reading to close-reading (title, abstract, full-text)< / li >
< li > using inclusion/exclusion criteria for each round of separations< / li >
< / ul > < / li >
< li > Pre-sorting of literature with keyword tagging:
< ul >
< li > reason for exclusion (title, abstract, superseded, or note for full-text reason)< / li >
< li > types of inequalities, types of policies, types of outcomes measured< / li >
< / ul > < / li >
< / ul >
< / section >
< section id = "sec-extraction" class = "level2" data-number = "2.7" >
< h2 data-number = "2.7" class = "anchored" data-anchor-id = "sec-extraction" > < span class = "header-section-number" > 2.7< / span > Extraction< / h2 >
< ul >
< li > Extraction of relevant data for current review:
< ul >
< li > from all sources identified as relevant during full-text screening< / li >
< li > using extraction tool to unify extracted data< / li >
< / ul > < / li >
< li > Relevant data:
< ul >
< li > Publication information (author, year, title, publisher, publication type)< / li >
< li > Contextual data (country, region, income class, period & length of analysis, target group, dataset)< / li >
< li > Results data (intervention, inequalities, outcome measures, main findings, channels, limitations)< / li >
< li > Statistical data (sample size, representativeness, methods, significance, absolute indicator)< / li >
< / ul > < / li >
< / ul >
< div style = "page-break-after: always;" > < / div >
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< / script > < div class = "modal fade" id = "quarto-embedded-source-code-modal" tabindex = "-1" aria-labelledby = "quarto-embedded-source-code-modal-label" aria-hidden = "true" > < div class = "modal-dialog modal-dialog-scrollable" > < div class = "modal-content" > < div class = "modal-header" > < h5 class = "modal-title" id = "quarto-embedded-source-code-modal-label" > Source Code< / h5 > < button class = "btn-close" data-bs-dismiss = "modal" > < / button > < / div > < div class = "modal-body" > < div class >
< div class = "sourceCode" id = "cb1" data-shortcodes = "false" > < pre class = "sourceCode markdown code-with-copy" > < code class = "sourceCode markdown" > < span id = "cb1-1" > < a href = "#cb1-1" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "co" > ---< / span > < / span >
< span id = "cb1-2" > < a href = "#cb1-2" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "an" > number-sections:< / span > < span class = "co" > true< / span > < / span >
< span id = "cb1-3" > < a href = "#cb1-3" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "co" > ---< / span > < / span >
< span id = "cb1-4" > < a href = "#cb1-4" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-5" > < a href = "#cb1-5" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "fu" > # Text summary of review search and extraction process< / span > < / span >
< span id = "cb1-6" > < a href = "#cb1-6" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-7" > < a href = "#cb1-7" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "fu" > ## WHAT we search for and WHY< / span > < / span >
< span id = "cb1-8" > < a href = "#cb1-8" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-9" > < a href = "#cb1-9" aria-hidden = "true" tabindex = "-1" > < / a > We are undertaking a systematic scoping review mapping out the current academic state of the art for policies explicitly or implicitly aimed at reducing inequalities in the world of work.< / span >
< span id = "cb1-10" > < a href = "#cb1-10" aria-hidden = "true" tabindex = "-1" > < / a > To arrive at a mapping which is as unbiased as possible, we closely follow the scoping review methodology proposed by Arksey and O' Malley (2005) and extended by Pham et al. (2014),< / span >
< span id = "cb1-11" > < a href = "#cb1-11" aria-hidden = "true" tabindex = "-1" > < / a > as well as those points from the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA, 2020) guidelines that are applicable to scoping reviews.< / span >
< span id = "cb1-12" > < a href = "#cb1-12" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-13" > < a href = "#cb1-13" aria-hidden = "true" tabindex = "-1" > < / a > The goal of this review strategy is to capture any possible coherent mechanisms of policy-making which positively influence the reduction of inequalities in the world of work and reach some measure of clarity on the extent and robustness of evidence in these areas.< / span >
< span id = "cb1-14" > < a href = "#cb1-14" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-15" > < a href = "#cb1-15" aria-hidden = "true" tabindex = "-1" > < / a > ACCOMPANYING SLIDE @sec-clusters< / span >
< span id = "cb1-16" > < a href = "#cb1-16" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-17" > < a href = "#cb1-17" aria-hidden = "true" tabindex = "-1" > < / a > To achieve this, we follow the general typologies formulated by ILO for the world of work to find a definition of work, various forms of work and labour market adjacent outcomes to be measured.< / span >
< span id = "cb1-18" > < a href = "#cb1-18" aria-hidden = "true" tabindex = "-1" > < / a > These provide one ' cluster' of terms for the world of work which will later be used for the actual search strategy.< / span >
< span id = "cb1-19" > < a href = "#cb1-19" aria-hidden = "true" tabindex = "-1" > < / a > A second cluster is provided by terms considering a variety of terms posing a definition of a policy,< / span >
< span id = "cb1-20" > < a href = "#cb1-20" aria-hidden = "true" tabindex = "-1" > < / a > as well as possible implementations of it in an institutional perspective, a structural perspective and the perspective of personal or collective agency.< / span >
< span id = "cb1-21" > < a href = "#cb1-21" aria-hidden = "true" tabindex = "-1" > < / a > The last cluster is made up of terms defining the concept of inequality, and terms describing dimensions of vertical and horizontal inequalities.< / span >
< span id = "cb1-22" > < a href = "#cb1-22" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-23" > < a href = "#cb1-23" aria-hidden = "true" tabindex = "-1" > < / a > These three clusters, taken together, then describe all domains which are of special interest in finding policies to reduce inequalities in the world of work.< / span >
< span id = "cb1-24" > < a href = "#cb1-24" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-25" > < a href = "#cb1-25" aria-hidden = "true" tabindex = "-1" > < / a > ACCOMPANYING SLIDE @sec-terms-example< / span >
< span id = "cb1-26" > < a href = "#cb1-26" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-27" > < a href = "#cb1-27" aria-hidden = "true" tabindex = "-1" > < / a > They, together with specific inclusion criteria, provide the semantic baseline for the search:< / span >
< span id = "cb1-28" > < a href = "#cb1-28" aria-hidden = "true" tabindex = "-1" > < / a > the terms and concepts for which studies will first be searched and later included or excluded from consideration in the actual search implementation.< / span >
< span id = "cb1-29" > < a href = "#cb1-29" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-30" > < a href = "#cb1-30" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "fu" > ## HOW we search< / span > < / span >
< span id = "cb1-31" > < a href = "#cb1-31" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-32" > < a href = "#cb1-32" aria-hidden = "true" tabindex = "-1" > < / a > ACCOMPANYING SLIDE @sec-search< / span >
< span id = "cb1-33" > < a href = "#cb1-33" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-34" > < a href = "#cb1-34" aria-hidden = "true" tabindex = "-1" > < / a > The scoping review process itself consists of three consecutive steps: identification, screening and extraction.< / span >
< span id = "cb1-35" > < a href = "#cb1-35" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-36" > < a href = "#cb1-36" aria-hidden = "true" tabindex = "-1" > < / a > The goal of the identification process is to allow a wide-breadth net to be cast,< / span >
< span id = "cb1-37" > < a href = "#cb1-37" aria-hidden = "true" tabindex = "-1" > < / a > including all possibly relevant material published on the topic to be identified and included in an initial sample pool of sources.< / span >
< span id = "cb1-38" > < a href = "#cb1-38" aria-hidden = "true" tabindex = "-1" > < / a > To facilitate this process, two search methods are used:< / span >
< span id = "cb1-39" > < a href = "#cb1-39" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-40" > < a href = "#cb1-40" aria-hidden = "true" tabindex = "-1" > < / a > ACCOMPANYING SLIDE @sec-identification< / span >
< span id = "cb1-41" > < a href = "#cb1-41" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-42" > < a href = "#cb1-42" aria-hidden = "true" tabindex = "-1" > < / a > Boolean-based searches of the extended World of Science corpus is the primary source of database literature.< / span >
< span id = "cb1-43" > < a href = "#cb1-43" aria-hidden = "true" tabindex = "-1" > < / a > Then, relevant existing reviews are identified within and outside of this sample and used for a ' snowballing' technique, which adds all sources mentioned within those reviews, and any overlapping citations from those sources in turn.< / span >
< span id = "cb1-44" > < a href = "#cb1-44" aria-hidden = "true" tabindex = "-1" > < / a > Through this identification technique, a wide breadth of sources are identified, generally covering all relevant literature making up the current state of the art.< / span >
< span id = "cb1-45" > < a href = "#cb1-45" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-46" > < a href = "#cb1-46" aria-hidden = "true" tabindex = "-1" > < / a > ACCOMPANYING SLIDE @sec-screening< / span >
< span id = "cb1-47" > < a href = "#cb1-47" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-48" > < a href = "#cb1-48" aria-hidden = "true" tabindex = "-1" > < / a > In the second scoping review step of screening, sources are systematically considered for their relevance from far-reading to close-reading techniques:< / span >
< span id = "cb1-49" > < a href = "#cb1-49" aria-hidden = "true" tabindex = "-1" > < / a > first, sources are considered only based title; next, based on abstract; and only those sources remaining are screened for full-text relevance for the final extraction.< / span >
< span id = "cb1-50" > < a href = "#cb1-50" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-51" > < a href = "#cb1-51" aria-hidden = "true" tabindex = "-1" > < / a > The criteria applied within each screening step are the aforementioned inclusion/exclusion criteria,< / span >
< span id = "cb1-52" > < a href = "#cb1-52" aria-hidden = "true" tabindex = "-1" > < / a > which are repeatedly applied in each step.< / span >
< span id = "cb1-53" > < a href = "#cb1-53" aria-hidden = "true" tabindex = "-1" > < / a > A source which can not unambiguously be assigned to any one of the criteria which would exclude it will be left included in the sample pool for another closer-reading consideration at a later step, until the full-text review.< / span >
< span id = "cb1-54" > < a href = "#cb1-54" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-55" > < a href = "#cb1-55" aria-hidden = "true" tabindex = "-1" > < / a > Alongside the final full-text screening step,< / span >
< span id = "cb1-56" > < a href = "#cb1-56" aria-hidden = "true" tabindex = "-1" > < / a > sources are assigned specific keyword ' tags' to ease their later organisation into domains of policies, inequalities, as well as countries and regions with the help of the internal keyword abilities of the *Zotero* reference manager.< / span >
< span id = "cb1-57" > < a href = "#cb1-57" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-58" > < a href = "#cb1-58" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "fu" > ## HOW we extract from it< / span > < / span >
< span id = "cb1-59" > < a href = "#cb1-59" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-60" > < a href = "#cb1-60" aria-hidden = "true" tabindex = "-1" > < / a > Extraction with the help of the extraction tool follows a strict grid of relevant data to extract from each source identified and screened as relevant.< / span >
< span id = "cb1-61" > < a href = "#cb1-61" aria-hidden = "true" tabindex = "-1" > < / a > The extraction data to be pulled from each relevant source can be categorized into 4 overall dimensions:< / span >
< span id = "cb1-62" > < a href = "#cb1-62" aria-hidden = "true" tabindex = "-1" > < / a > publication data, contextual data, results, and statistical data.< / span >
< span id = "cb1-63" > < a href = "#cb1-63" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-64" > < a href = "#cb1-64" aria-hidden = "true" tabindex = "-1" > < / a > ACCOMPANYING SLIDE @sec-extraction< / span >
< span id = "cb1-65" > < a href = "#cb1-65" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-66" > < a href = "#cb1-66" aria-hidden = "true" tabindex = "-1" > < / a > Publication data captures the relevant information to uniquely identify the study under review,< / span >
< span id = "cb1-67" > < a href = "#cb1-67" aria-hidden = "true" tabindex = "-1" > < / a > as well as identify its publication type and location.< / span >
< span id = "cb1-68" > < a href = "#cb1-68" aria-hidden = "true" tabindex = "-1" > < / a > Results capture the primary of findings of a study, along with any suggested channels or mechanisms of operation, the theory they are basing them on if provided, and any limitations.< / span >
< span id = "cb1-69" > < a href = "#cb1-69" aria-hidden = "true" tabindex = "-1" > < / a > They also capture the type of intervention under review as well as the types of inequalities, as well as any specific outcome measures.< / span >
< span id = "cb1-70" > < a href = "#cb1-70" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-71" > < a href = "#cb1-71" aria-hidden = "true" tabindex = "-1" > < / a > Contextual data represents all information given within the source as to the intervention' s respective required contexts:< / span >
< span id = "cb1-72" > < a href = "#cb1-72" aria-hidden = "true" tabindex = "-1" > < / a > what the primary country (or countries) of analysis were, which world region and country income class they represent, which target group was targeted by the intervention if any, which dataset the study at hand made use of if provided and importantly when and for how long the intervention and its study were undertaken.< / span >
< span id = "cb1-73" > < a href = "#cb1-73" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-74" > < a href = "#cb1-74" aria-hidden = "true" tabindex = "-1" > < / a > Statistical data captures all study findings of statistical relevance: its sample size, level of representativeness, significance, but and if it is using relative or absolute indicators.< / span >
< span id = "cb1-75" > < a href = "#cb1-75" aria-hidden = "true" tabindex = "-1" > < / a > It also captures the design (whether it was undertaken experimentally or observationally) and the methods used by the study.< / span >
< span id = "cb1-76" > < a href = "#cb1-76" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-77" > < a href = "#cb1-77" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "fu" > # Bullet-points / Possible Slides< / span > < / span >
< span id = "cb1-78" > < a href = "#cb1-78" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-79" > < a href = "#cb1-79" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "fu" > ## Term cluster areas {#sec-clusters}< / span > < / span >
< span id = "cb1-80" > < a href = "#cb1-80" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-81" > < a href = "#cb1-81" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > *world of work* cluster:< / span >
< span id = "cb1-82" > < a href = "#cb1-82" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Definition of work< / span >
< span id = "cb1-83" > < a href = "#cb1-83" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Forms of work< / span >
< span id = "cb1-84" > < a href = "#cb1-84" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Labour market adjacent outcomes< / span >
< span id = "cb1-85" > < a href = "#cb1-85" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > *policy* cluster:< / span >
< span id = "cb1-86" > < a href = "#cb1-86" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > definition of policy< / span >
< span id = "cb1-87" > < a href = "#cb1-87" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > institutional implementations< / span >
< span id = "cb1-88" > < a href = "#cb1-88" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > structural implementations< / span >
< span id = "cb1-89" > < a href = "#cb1-89" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > implementations of personal/collective agency< / span >
< span id = "cb1-90" > < a href = "#cb1-90" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > *inequality* cluster:< / span >
< span id = "cb1-91" > < a href = "#cb1-91" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > definition of inequalities< / span >
< span id = "cb1-92" > < a href = "#cb1-92" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > vertical inequalities< / span >
< span id = "cb1-93" > < a href = "#cb1-93" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > horizontal inequalities< / span >
< span id = "cb1-94" > < a href = "#cb1-94" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-95" > < a href = "#cb1-95" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "fu" > ## Inequalities term cluster example {#sec-terms-example}< / span > < / span >
< span id = "cb1-96" > < a href = "#cb1-96" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-97" > < a href = "#cb1-97" aria-hidden = "true" tabindex = "-1" > < / a > | Defintion | Vertical inequality | Horizontal inequality |< / span >
< span id = "cb1-98" > < a href = "#cb1-98" aria-hidden = "true" tabindex = "-1" > < / a > | --- | --- | --- |< / span >
< span id = "cb1-99" > < a href = "#cb1-99" aria-hidden = "true" tabindex = "-1" > < / a > | inequality | income | identity |< / span >
< span id = "cb1-100" > < a href = "#cb1-100" aria-hidden = "true" tabindex = "-1" > < / a > | barrier | class | demographic |< / span >
< span id = "cb1-101" > < a href = "#cb1-101" aria-hidden = "true" tabindex = "-1" > < / a > | advantaged | Gini | gender |< / span >
< span id = "cb1-102" > < a href = "#cb1-102" aria-hidden = "true" tabindex = "-1" > < / a > | disadvantaged | Palma | colour |< / span >
< span id = "cb1-103" > < a href = "#cb1-103" aria-hidden = "true" tabindex = "-1" > < / a > | discriminated | Theil | beliefs |< / span >
< span id = "cb1-104" > < a href = "#cb1-104" aria-hidden = "true" tabindex = "-1" > < / a > | disparity | Atkinson | racial |< / span >
< span id = "cb1-105" > < a href = "#cb1-105" aria-hidden = "true" tabindex = "-1" > < / a > | horizontal inequality | log deviation | ethnic |< / span >
< span id = "cb1-106" > < a href = "#cb1-106" aria-hidden = "true" tabindex = "-1" > < / a > | vertical inequality | fertility | migrant |< / span >
< span id = "cb1-107" > < a href = "#cb1-107" aria-hidden = "true" tabindex = "-1" > < / a > | | bottom percentile | spatial |< / span >
< span id = "cb1-108" > < a href = "#cb1-108" aria-hidden = "true" tabindex = "-1" > < / a > | | top percentile | rural |< / span >
< span id = "cb1-109" > < a href = "#cb1-109" aria-hidden = "true" tabindex = "-1" > < / a > | | | urban |< / span >
< span id = "cb1-110" > < a href = "#cb1-110" aria-hidden = "true" tabindex = "-1" > < / a > | | | small cities |< / span >
< span id = "cb1-111" > < a href = "#cb1-111" aria-hidden = "true" tabindex = "-1" > < / a > | | | peripherial cities |< / span >
< span id = "cb1-112" > < a href = "#cb1-112" aria-hidden = "true" tabindex = "-1" > < / a > | | | age |< / span >
< span id = "cb1-113" > < a href = "#cb1-113" aria-hidden = "true" tabindex = "-1" > < / a > | | | nationality |< / span >
< span id = "cb1-114" > < a href = "#cb1-114" aria-hidden = "true" tabindex = "-1" > < / a > | | | ethnicity |< / span >
< span id = "cb1-115" > < a href = "#cb1-115" aria-hidden = "true" tabindex = "-1" > < / a > | | | health status |< / span >
< span id = "cb1-116" > < a href = "#cb1-116" aria-hidden = "true" tabindex = "-1" > < / a > | | | disability |< / span >
< span id = "cb1-117" > < a href = "#cb1-117" aria-hidden = "true" tabindex = "-1" > < / a > | | | characteristics |< / span >
< span id = "cb1-118" > < a href = "#cb1-118" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-119" > < a href = "#cb1-119" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "fu" > ## Inclusion criteria {#sec-criteria}< / span > < / span >
< span id = "cb1-120" > < a href = "#cb1-120" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-121" > < a href = "#cb1-121" aria-hidden = "true" tabindex = "-1" > < / a > | Parameter | Inclusion criteria | Exclusion criteria |< / span >
< span id = "cb1-122" > < a href = "#cb1-122" aria-hidden = "true" tabindex = "-1" > < / a > | --- | --- | --- |< / span >
< span id = "cb1-123" > < a href = "#cb1-123" aria-hidden = "true" tabindex = "-1" > < / a > | Time frame | study published in or after 2000 | study published before 2000 |< / span >
< span id = "cb1-124" > < a href = "#cb1-124" aria-hidden = "true" tabindex = "-1" > < / a > | Study type | primary research | opinion piece, editorial, commentary, news article, literature review |< / span >
< span id = "cb1-125" > < a href = "#cb1-125" aria-hidden = "true" tabindex = "-1" > < / a > | Study recency | most recent publication of study | gray literature superseded by white literature publication |< / span >
< span id = "cb1-126" > < a href = "#cb1-126" aria-hidden = "true" tabindex = "-1" > < / a > | Study focus | inequality or labour market outcomes as primary outcome (dependent variable) | neither inequality nor labour market outcomes as dependent variable |< / span >
< span id = "cb1-127" > < a href = "#cb1-127" aria-hidden = "true" tabindex = "-1" > < / a > | | policy measure or strategy as primary intervention (independent variable) | no policy measure/strategy as intervention or relationship unclear |< / span >
< span id = "cb1-128" > < a href = "#cb1-128" aria-hidden = "true" tabindex = "-1" > < / a > | | specifically relates to some dimension of world of work | exists outside world of work for both independent and dependent variables |< / span >
< span id = "cb1-129" > < a href = "#cb1-129" aria-hidden = "true" tabindex = "-1" > < / a > | | focus on dimension of inequality in analysis | no focus on mention of inequality in analysis |< / span >
< span id = "cb1-130" > < a href = "#cb1-130" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-131" > < a href = "#cb1-131" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "fu" > ## The Search Process {#sec-search}< / span > < / span >
< span id = "cb1-132" > < a href = "#cb1-132" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-133" > < a href = "#cb1-133" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > identification: create a sample of *all* possibly relevant sources from current literature< / span >
< span id = "cb1-134" > < a href = "#cb1-134" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > screening: separate irrelevant from relevant sources and map source characteristics< / span >
< span id = "cb1-135" > < a href = "#cb1-135" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > extraction: pull out the relevant outcomes for which data were sought based on extraction tool from relevant studies only< / span >
< span id = "cb1-136" > < a href = "#cb1-136" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-137" > < a href = "#cb1-137" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "fu" > ## Identification {#sec-identification}< / span > < / span >
< span id = "cb1-138" > < a href = "#cb1-138" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-139" > < a href = "#cb1-139" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Database sources:< / span >
< span id = "cb1-140" > < a href = "#cb1-140" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > World of Science (Extended Corpus): white literature< / span >
< span id = "cb1-141" > < a href = "#cb1-141" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Google Scholar: possibly relevant grey literature< / span >
< span id = "cb1-142" > < a href = "#cb1-142" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Snowballing:< / span >
< span id = "cb1-143" > < a href = "#cb1-143" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > starting from existing relevant reviews contained in initial database results & additional relevant ones< / span >
< span id = "cb1-144" > < a href = "#cb1-144" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > all contained citations extracted and added to identified sources< / span >
< span id = "cb1-145" > < a href = "#cb1-145" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Deduplication:< / span >
< span id = "cb1-146" > < a href = "#cb1-146" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > automated deduplication for exact source matches< / span >
< span id = "cb1-147" > < a href = "#cb1-147" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > manual deduplication for inexact matches or superseding literature< / span >
< span id = "cb1-148" > < a href = "#cb1-148" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-149" > < a href = "#cb1-149" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "fu" > ## Screening {#sec-screening}< / span > < / span >
< span id = "cb1-150" > < a href = "#cb1-150" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-151" > < a href = "#cb1-151" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Repeated sorting out of irrelevant literature:< / span >
< span id = "cb1-152" > < a href = "#cb1-152" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > repeated process from far-reading to close-reading (title, abstract, full-text)< / span >
< span id = "cb1-153" > < a href = "#cb1-153" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > using inclusion/exclusion criteria for each round of separations< / span >
< span id = "cb1-154" > < a href = "#cb1-154" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Pre-sorting of literature with keyword tagging:< / span >
< span id = "cb1-155" > < a href = "#cb1-155" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > reason for exclusion (title, abstract, superseded, or note for full-text reason)< / span >
< span id = "cb1-156" > < a href = "#cb1-156" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > types of inequalities, types of policies, types of outcomes measured< / span >
< span id = "cb1-157" > < a href = "#cb1-157" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-158" > < a href = "#cb1-158" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "fu" > ## Extraction {#sec-extraction}< / span > < / span >
< span id = "cb1-159" > < a href = "#cb1-159" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-160" > < a href = "#cb1-160" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Extraction of relevant data for current review:< / span >
< span id = "cb1-161" > < a href = "#cb1-161" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > from all sources identified as relevant during full-text screening< / span >
< span id = "cb1-162" > < a href = "#cb1-162" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > using extraction tool to unify extracted data< / span >
< span id = "cb1-163" > < a href = "#cb1-163" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Relevant data:< / span >
< span id = "cb1-164" > < a href = "#cb1-164" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Publication information (author, year, title, publisher, publication type)< / span >
< span id = "cb1-165" > < a href = "#cb1-165" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Contextual data (country, region, income class, period & length of analysis, target group, dataset)< / span >
< span id = "cb1-166" > < a href = "#cb1-166" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Results data (intervention, inequalities, outcome measures, main findings, channels, limitations)< / span >
< span id = "cb1-167" > < a href = "#cb1-167" aria-hidden = "true" tabindex = "-1" > < / a > < span class = "ss" > - < / span > Statistical data (sample size, representativeness, methods, significance, absolute indicator)< / span >
< span id = "cb1-168" > < a href = "#cb1-168" aria-hidden = "true" tabindex = "-1" > < / a > < / span >
< span id = "cb1-169" > < a href = "#cb1-169" aria-hidden = "true" tabindex = "-1" > < / a > {{< pagebreak > }}< / span > < / code > < button title = "Copy to Clipboard" class = "code-copy-button" > < i class = "bi" > < / i > < / button > < / pre > < / div >
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