Care is not a tally sheet: rethinking the field of gender divisions of domestic labour with care-centric conceptual narratives
Bibliographic record
Abstract
This article addresses two puzzles that are at the heart of the field of gender divisions of domestic labour. How is it that care concepts seldom appear in a field that is focused on unpaid care work? Why does the field focus on divisions rather than on relationships and relationalities? To address these puzzles, I interrogate some of the conceptual underpinnings in the field’s dominant theories: social exchange and ‘doing gender’. Through a weaving of Margaret Somers’ historical sociology of concept formation and Nancy Fraser’s historical mapping of capitalism, care and social reproduction, I aim to rethink and remake the field of gender divisions of domestic labour through care theories, especially feminist care ethics and care economies research. I argue that care concepts – which highlight relationalities, responsiveness and responsibilities – can radically re-orient how we approach the ‘who’ and ‘what’ questions of this field’s long-standing central focus on ‘who does what?’
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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 | 0.038 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.014 | 0.129 |
| Scholarly communication | 0.017 | 0.035 |
| Open science | 0.004 | 0.017 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 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".