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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".