Careworkers in the global market: Appraising applications of feminist care ethics
Bibliographic record
Abstract
Feminist Care Ethics has much to offer in an analysis of the international migration of (largely female) care workers. This paper argues, however, that Joan Tronto’s analysis of this international care regime is incomplete insofar as it overlooks the ways in which the current global care market is progressive for the workers and the significant harms this market is inflicting on care receivers in source countries. In order for Feminist Care Ethics to fulfill its potential, it must be developed beyond a visionary tool for revaluing care—it must also produce analytic tools for evaluating real alternatives under pressing, real-time constraints.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.034 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.011 | 0.085 |
| Scholarly communication | 0.018 | 0.023 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.015 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".