Between Women of Color: The New Social Organization of Reproductive Labor
Bibliographic record
Abstract
In this article, we examine citizenship inequalities in paid reproductive labor. Through an analysis of elder care in Los Angeles, California, based on interviews with Filipina home care agency workers and owners, we delineate citizen divisions made up of two interlocking dimensions. The longstanding U.S. welfare state abdication of responsibility for elder care for its citizens generates a racialized, gendered citizenship division that facilitates another citizenship division between women of color. The outsourcing of elder care by the government to the private sector including small business in the ethnic economy allows Filipina immigrants with legal citizenship to become middle-women minorities who hire undocumented Filipinas to provide care for white, middle-class, older adult women and their families. Through this new social organization of reproductive labor, responsibility is directed away from the state and generating tensions between women of color with different legal statuses. Our findings show how racialized, gendered inequalities are reinforced through this new social organization of reproductive labor but also demonstrate potential for undermining intersecting inequalities.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| 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 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".