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chore(script): Include superseded in duplicate count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Included studies marked as 'out::superseded' in the duplication removal step.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
708fa90d29
chore(script): Refactor file top imports
2023-12-09 21:54:26 +01:00
c3b0d8cfd6
fix(script): Fix display of fuller-width figures
2023-12-09 20:41:29 +01:00
5d17d5091f
feat(script): Add introductory hook to income inequality
...
Added small hook which can be built upon later, introduces concept of primacy of
vertical income inequality but how it can exacerbate issues.
2023-12-09 19:04:26 +01:00
2cf2a03d87
fix(script): Remove visualization per literature type
...
For the time being removed the distinction between gray and white literature
as our sample did not lend itself to the dissection. May reintroduce later.
2023-12-09 18:58:27 +01:00
56e18b1285
fix(script): Calculate country groups for sample
2023-12-09 18:56:42 +01:00
b83f39ffc1
feat(data): Extract Wong2019
2023-12-09 18:48:59 +01:00
8bef9033f8
feat(data): Extract Alinaghi2020
2023-12-09 18:48:39 +01:00
9c8b42d3bc
feat(data): Extract Field2019
2023-12-09 17:00:05 +01:00
efdb42f36f
feat(data): Extract Carstens2018
2023-12-09 17:00:05 +01:00
cc68e83730
fix(script): Improve spelling and wording
2023-12-09 13:04:01 +01:00
99672df48f
feat(data): Extract Whitworth2021
2023-12-09 13:03:30 +01:00
e1bb1b5fc3
feat(data): Extract Al-Mamun2014
2023-12-09 13:03:29 +01:00
09e2ae6317
feat(data): Extract Delesalle2021
2023-12-09 13:03:11 +01:00
12964bade3
chore(data): Re-integrate previous reviews into bibtex
2023-12-08 15:54:16 +01:00
6f1ce1f8b5
chore(script): Add tentative income inequality synthesis organization
2023-12-08 12:38:18 +01:00
ed3d09b3f7
feat(script): Use extracted data for manuscript
...
For the first time we use the actual final extracted data from relevant studies
to do analysis on instead of just the intermediate Zotero-provided metadata.
We still inject the intermediate metadata where it may be useful (things like
citation counts and keywords) but otherwise switch to the new data.
2023-12-07 22:34:18 +01:00
