Bilateral labor agreements as migration governance tools: An analysis from a gender lens
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This Article discusses BLAs as tools of global labor migration governance, with a specific focus on gender. Drawing on our global database of 582 bilateral labor migration agreements (BLAs), we investigate the extent to which these governing instruments connect and align with relevant international normative frameworks, in particular the extent to which they represent gains, gaps or gaffs in terms of gender equality and the human and labor rights protection of women migrants. In the context of the Global Compact for Safe, Orderly and Regular Migration (GCM), which stresses a gender-responsive approach to migration governance as one of its guiding principles, we ask: Do the BLAs which are increasingly being used as instruments to govern labor migration contribute toward sustainable gender equality, decent work and reduced inequalities for women and gender-diverse migrants?
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.008 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it