Commit graph

110 commits

Author SHA1 Message Date
fbd7e6c216
feat(script): Add conclusion 2024-01-06 10:10:08 +01:00
64c7aa2627
chore(script): Remove infrastructure subheadings
Until we have enough infrastructure studies to have it make sense,
this should not be further subdivided.
2024-01-06 10:09:44 +01:00
cbc42a059f
feat(script): Add discussion text 2024-01-06 10:09:10 +01:00
d756ddd80a
chore(script): Update discussion headings 2024-01-06 10:08:30 +01:00
64daf369e5
chore(script): Update data description 2024-01-06 10:05:59 +01:00
d5c5cfe6d3
chore(script): Comment all TODO and FIXME markers 2024-01-06 10:05:11 +01:00
2dfc214a60
chore(script): Refactor context section 2024-01-06 10:03:59 +01:00
58d890429d
feat(script): Extend introduction 2024-01-06 10:02:55 +01:00
bacfe709c1
fix(script): Invert title and subtitle 2024-01-06 10:02:17 +01:00
95ad5ed641
chore(data): Merge zotero library exports
To not double-commit every library change, we simply export ALL of
the zotero library into a single file in the 'intermediate' data
directory. Technically this still works just as well since it
still reflects our 'intermediate' stage of tagging, screening,
keywording the library contents. It just contains the non-sampled
contents as well now.
2024-01-06 09:52:08 +01:00
b31cbb914f
feat(script): Add inequality and region breakdowns per inequality 2023-12-22 19:27:52 +01:00
e3315d402f
chore(script): Move inequality and region breakdowns to discussion 2023-12-22 19:27:20 +01:00
1efa2a938c
fix(script): Fix em-dash 2023-12-22 19:26:17 +01:00
c8fe3bc5e2
chore(script): Add pagebreak after TOC 2023-12-22 19:26:06 +01:00
46df42ba30
fix(data): Global studies belong to all regions 2023-12-22 19:25:51 +01:00
75717f837c
chore(code): By default use all processed data 2023-12-22 19:25:24 +01:00
cb0c20f835
feat(data): Extract 3 more preliminary studies 2023-12-22 11:20:40 +01:00
af6a261d89
fix(script): Switch to correct Suh2017 citation
Thome2017 was thrown out originally.
2023-12-22 10:23:43 +01:00
36d12f4213
fix(script): Add missing Chao entry 2023-12-22 07:50:40 +01:00
1b8508a8b9
feat(data): Add preliminary extractions for collective action 2023-12-21 19:01:46 +01:00
259d95693f
chore(script): Sort by institution-structural-agency 2023-12-21 17:01:26 +01:00
836227d72e
feat(script): Add breakdown by region visualization 2023-12-21 16:49:55 +01:00
3f44b0d710
fix(script): Correctly map regions to studies
Correctly mapping multiple countries to multiple regions or income groups.
2023-12-21 16:13:25 +01:00
82f2fa089a
feat(script): Begin adding horizontal inequalities outcomes 2023-12-21 15:09:32 +01:00
a55a9921e3
feat(data): Extract Rendall2013 2023-12-19 15:29:54 +01:00
e3e2440553
feat(data): Extract Suh2017 2023-12-19 14:46:55 +01:00
1ea9b86174
feat(data): Extract Poppen2017 2023-12-18 15:23:59 +01:00
ea338908d2
feat(data): Extract Wang2016 2023-12-18 14:52:32 +01:00
3eb989dbcf
feat(data): Extract Pi2016 2023-12-18 14:52:17 +01:00
2826ac894d
feat(data): Extract Liyanaarachchi2016 2023-12-18 11:11:13 +01:00
daee236eac
feat(data): Extract Mun2018 2023-12-14 19:08:25 +01:00
73b96a757a
feat(data): Extract Militaru2019 2023-12-14 17:42:41 +01:00
b594233d01
feat(data): Extract Davies2022 2023-12-14 16:33:21 +01:00
c3369e83e7
chore(script): Change methodology and inequalities headlines 2023-12-13 21:15:00 +01:00
2fc730812f
feat(data): Extract Khan2021 2023-12-13 21:14:31 +01:00
f63cf44f74
feat(data): Extract Standing2015 2023-12-13 20:02:04 +01:00
30b649f31f
chore(script): De-indent intervention headlines
Until we have thematic areas, de-indent the individual headlines for the time being.
2023-12-13 15:46:21 +01:00
84f1d64492
chore(script): Update TODOs and FIXMEs in script 2023-12-13 15:04:19 +01:00
97f6214932
chore(script): Refactor synthesis toward interventions
Refactor to start breakdown from interventions and then move towards
individual categories and inequality breakdowns within the sections.

It should follow intervention -> inequality/region logic.
2023-12-13 14:44:08 +01:00
8c2c83cd9a
chore(script): Include superseded in duplicate count
Included studies marked as 'out::superseded' in the duplication removal step.
2023-12-13 14:42:34 +01:00
26afa3b8ea
fix(script): Add missing Rosen2014 annotation 2023-12-12 08:48:25 +01:00
30d059d68b
chore(script): Imply regional/findings breakdowns 2023-12-12 08:46:59 +01:00
85497854c1
feat(data): Extract Adams2015 2023-12-11 17:17:42 +01:00
ca7eab92d3
chore(script): Refactor pandas data ingestion
Load data at top of file, then use chained methods for
visualizations.
2023-12-10 18:00:27 +01:00
1ba2daeacd
feat(data): Extract Emigh2018 2023-12-10 17:59:19 +01:00
50ce8b6310
feat(data): Extract Shepherd-Banigan2021 2023-12-10 17:59:17 +01:00
7258915ef1
feat(script): Extract Gates2000 2023-12-10 11:33:56 +01:00
efd6e285c8
feat(script): Extract Hardoy2015 2023-12-10 11:04:19 +01:00
8e7f99b20d
chore(script): Refactor dataframe loading code
Improved readability of dataframe loading, used improved chaining
and some list comprehension to make it much less messy.
2023-12-09 23:46:21 +01:00
3f05283f6d
chore(script): Refactor screening flowchart calculations
Made it much clearer and simpler how numbers are calculated for the
screening flowchart. Now we just keep the actual numbers in memory
and not a copy of the whole bibtex library for each calculation step.

Also renamed the bibtex variables to be more sane, `bib_sample_raw_db`
(the raw, unaltered sample returned from querying the databases), and
`bib_sample` for our working sample including database queries and
snowballing studies but already deduplicated (since we can't keep
an unduplicated version on Zotero).
2023-12-09 22:06:05 +01:00