Rethinking Care Ethics: On the Promise and Potential of an Intersectional Analysis
Bibliographic record
Abstract
This article contributes to current debates and discussions in critical social theory about diversity, inclusion/exclusion, power, and social justice by exploring intersectionality as an important theoretical resource to further develop and advance care ethics. Using intersectionality as a critical reference point, the investigation highlights two key shortcomings of care ethics which stem from this ethics’ prioritization of gender and gendered power relations: inadequate conceptualizations of diversity and power. The article draws on concrete examples related to migrant domestic work to illustrate how an intersectionality lens can advance new theoretical insights for understanding caring practices (or lack of them), and generate new methodological and practical strategies for confronting and transforming the deeply entrenched interlocking power inequities that undermine the realization of care in an increasingly complex context of national and international policy and politics.
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.
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 | 0.087 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.006 |
| Science and technology studies | 0.016 | 0.191 |
| Scholarly communication | 0.034 | 0.063 |
| Open science | 0.006 | 0.036 |
| Research integrity | 0.008 | 0.018 |
| 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".