Commit graph

101 commits

Author SHA1 Message Date
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
245b44885c
chore(data): Update libraries 2024-01-06 09:45:59 +01:00
1971b8c6fa
chore(script): Add docx render template 2024-01-06 09:43:12 +01:00
3deb30b5b3
fix(data): Merge Blumenberg2014 intervention pattern 2024-01-06 09:11:39 +01:00
39fd5f57dd
chore(data): Update bibtex libraries 2023-12-22 19:28:13 +01:00
ea26a5932e
fix(data): Change to more precise study inequalities 2023-12-22 19:09:10 +01:00
858647cf66
chore(data): Rename irrelevant studies to disabled
To not be picked up automatically by the render functions when
loading all studies from all processed directories.
2023-12-22 11:44:57 +01:00
cb0c20f835
feat(data): Extract 3 more preliminary studies 2023-12-22 11:20:40 +01:00
6aa9f1e947
fix(data): Fix journal capitalizations 2023-12-22 07:50:00 +01:00
1b8508a8b9
feat(data): Add preliminary extractions for collective action 2023-12-21 19:01:46 +01:00
3972a587df
fix(data): Fix Delesalle2021 intervention 2023-12-21 17:58:18 +01:00
0e416e208c
fix(data): Fix journal name Adams2015 2023-12-21 17:19:58 +01:00
8bab7256e1
fix(data): Remove UK short spelling 2023-12-21 16:11:25 +01:00
b3a96a4a4f
chore(data): Sort out Elveren2013 2023-12-19 17:05:44 +01:00
c264033b2e
fix(data): Unify interventions 2023-12-19 17:03:47 +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
d87ade83e0
fix(data): Remove class inequality 2023-12-18 15:37:16 +01:00
aac958ba8f
fix(data): Fix design for Kuriyama 2023-12-18 15:26:39 +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
e4030581d4
fix(data): Fix education intervention category 2023-12-18 13:28:26 +01:00
2826ac894d
feat(data): Extract Liyanaarachchi2016 2023-12-18 11:11:13 +01:00
5e2a8c6c3b
chore(data): Update library with PDF files 2023-12-18 11:10:50 +01:00
daee236eac
feat(data): Extract Mun2018 2023-12-14 19:08:25 +01:00
b0308600a2
fix(data): Rename maternity leave to paid leave
To reflect a) the possibility of gender-less paid leave and b) the child-care
not just being maternal but possible for other relations.
2023-12-14 19:08:09 +01:00
f51505a57c
chore(data): Sort out irrelevant study 2023-12-14 19:07:05 +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
2fc730812f
feat(data): Extract Khan2021 2023-12-13 21:14:31 +01:00
124e520835
chore(data): Sort out full-text studies 2023-12-13 20:48:28 +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
c35b205345
chore(data): Update library and country separation 2023-12-13 14:40:16 +01:00
9789936712
feat(data): Extract Xu2021 2023-12-13 14:39:37 +01:00
6e4f19ac3f
!fix(data): Fix measures collected
Fixed the measures and directions collected to use Gini, Atkinson, .. measures or
absolute employment, poverty, etc.
2023-12-13 13:50:40 +01:00
50409bb9d3
fix(data): Change Debowicz2014 to simulation design 2023-12-12 21:37:38 +01:00
7db335a479
feat(data): Extract Cieplinski2021 2023-12-12 20:08:02 +01:00
874e708112
chore(data): Sort out irrelevant study 2023-12-12 20:07:45 +01:00
85497854c1
feat(data): Extract Adams2015 2023-12-11 17:17:42 +01:00
6041d00d8b
chore(data): Categorize further studies for tags
Tag studies for income, gender, racial and ethnicity inequalities
based on title keywords.
2023-12-11 17:10:31 +01:00
6104f2d274
feat(data): Extract Rosen2014 2023-12-11 09:49:46 +01:00
ef06e4bb88
chore(data): Sort out Dumas2018 2023-12-10 19:29:47 +01:00
0e29a3332c
feat(data): Extract Emigh2018 2023-12-10 19:29:28 +01:00
50ce8b6310
feat(data): Extract Shepherd-Banigan2021 2023-12-10 17:59:17 +01:00
85c6340b5c
fix(data): Remove 'poverty' as inequality category
Poverty is a status but not directly inequality
2023-12-10 17:57:50 +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
a681a5b6ff
fix(data): Fix display of table data linebreak 2023-12-09 20:40:56 +01:00