Not without them: realising the sustainable development goals for women migrant workers
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
Drawing on multiple data sources, including key informant interviews, participant observation and archival study, this paper provides an analysis of the civil society’s role in foregrounding the agenda of women migrants in migration and development (M&D) fora, and reflects on its role in realising the UN Sustainable Development Goals (SDGs). Yet, the dominant narrative within the state-led Global Forum on Migration and Development (GFMD) tends to be a gender-blind migration for development approach, which emphasises national-level economic growth at the centre of migration processes, while negating the subjectivities of women migrants and neglecting their contributions to the global economy; this approach diverts attention to a narrow focus on macro-economic development through forms of financial remittances. Based on an examination of the GFMD as a site for gender mainstreaming M&D, we reflect on lessons learned as we look forward to achieving the SDGs. We argue that while the SDGs include some significant provisions for women in migration, only critical civil society advocacy and activism networked within grassroots organisations can address the structural changes necessary (such as a re-articulation of the care economy to value economic contributions of women’s reproductive work) to transform and improve the lived realities of women in migration and realise the SDGs in a manner that fosters their empowerment.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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