Commit graph

75 commits

Author SHA1 Message Date
4897db01bc
feat(data): Add Go2010 study on wage subsidies 2024-02-08 16:56:03 +01:00
472e6a0dbc
feat(data): Add Li2022 workfare study 2024-02-08 15:29:19 +01:00
5b9bd1b1b0
feat(data): Add previous ALMP review studies 2024-01-30 14:44:02 +01:00
eaf8ffdcbc
feat(data): Extract Wang2020 2024-01-18 11:54:38 +01:00
1ad004695c
chore(data): Update zotero library 2024-01-17 18:04:58 +01:00
8db6e3c008
chore(data): Add sample keywords
Added keywords to signify where a study in the sample came from, with
`sample::snowballing` or `sample::database` showing the difference.
2024-01-11 17:52:53 +01:00
62e98c684e
feat(data): Screen 2004, 2017 2024-01-08 17:23:52 +01:00
57077e3373
chore(data): Update library 2024-01-06 15:29:30 +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
245b44885c
chore(data): Update libraries 2024-01-06 09:45:59 +01:00
39fd5f57dd
chore(data): Update bibtex libraries 2023-12-22 19:28:13 +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
b3a96a4a4f
chore(data): Sort out Elveren2013 2023-12-19 17:05:44 +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
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
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
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
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
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
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
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
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