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
Articles: Nannies, Nurses and Nuns: Broadening the Scope of Global Care Chain Analysis - N.Yeates Caring Across Borders: The Case of Women Health Workers from Kerala in the Middle East - U.Devi Entrenching Gender Discrimination? Labour, Employment and Skilled Migration in South Africa's 2002 Immigration Act - B.Dodson & J.Crush Managing Relationships in Peripatetic Careers: Scientific Mobility in the European Union - L.Ackers Toward the Analysis of Transnational Social Mobility of Migrant Women: From the Case of the Filipina Domestic Workers - C.Ogaya At the Bottom of the Ladder in the Heath Care Sector: The Impact of Gender, Race and National Origin in Home Health Care in Montreal - D.Meintel, M.Cognet & S.Fortin Settled in Mobility: Transnational Migrants and Gender in Post wall Europe - M.Morokvasic Gender and International Labour Migration: Key Concerns and issues - E.Kofman & P.Raghuram Dialogue Section Upwardly Global: Providing a Nexus for Refugee Professionals and Potential Employers - J.Leu International Convention on Migrant Worker's Rights - N.Piper N.Shah
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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