d2e461b7b5
feat(data): Add Bailey2012 study
2024-01-26 12:58:39 +01:00
9176c7a443
fix(data): Change paid leave program to institutional
2024-01-26 12:58:37 +01:00
aabfd94373
feat(data): Add Dustmann2012 study
2024-01-26 12:58:34 +01:00
b6f57b86a7
feat(data): Add Thoresen2021 training study
2024-01-17 16:03:42 +01:00
4c32fd0682
feat(script): Add Eckardt2022 to cited studies
...
It is irrelevant for the sample pool (no empirical data) but useful
as framework for income inequalities.
2024-01-17 16:03:39 +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
192fdb4f07
chore(data): Update raw snowballing number counts
2024-01-10 18:25:52 +01:00
de5bc68836
chore(data): Move snowball DOIs into Zotero
...
Integrated all new snowballing DOIs into Zotero to be screened and
extracted.
2024-01-10 14:43:47 +01:00
e3d4882593
feat(data): Collect snowballing DOIs
2024-01-10 12:13:22 +01:00
4d2738ec83
feat(data): Add snowballing reference preparations
...
From these, with the help of crossref et al, we can fairly easily start
the snowballing process.
2024-01-09 18:14:31 +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
6c45e9dd7c
Publish version 0.3.0
2024-01-06 10:41:26 +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
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
