Bibliographic record
Abstract
Care theorists have had enough. Decades of neoliberalism, followed by financial crisis, austerity, gender backlash, and, in 2020, a worldwide infectious disease pandemic, have clearly tested their patience. The titles alone of three recent books on the ethics and politics of care suggest a change in tone; indeed, “radical,” “revolutionary,” and “manifesto” are generally not words we associate with the scholarship of those interested in the everyday practices of responding to the needs of others. And yet for Maurice Hamington, Lynne Segal, and co-authors Jennifer Nedelsky and Tom Malleson, these quotidian practices, and the ethos that underlies them, are more radical than they seem. Indeed, these volumes suggest that a commitment to care—a commitment that is both ideational/ethical and material—is necessary to usher in the kind of politics we so desperately need today. It could be, then, that with their latest books, these authors are edifying and formalizing what we might call the “radical turn” in research on care—a turn that can be roughly said to have begun in 2020 with the Care Collective’s The Care Manifesto (Verso) and the parallel Care Manifesto (Femnet) written by and for women of Africa, Asia, and Latin America a year later.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.022 | 0.105 |
| Scholarly communication | 0.022 | 0.020 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.009 | 0.014 |
| Insufficient payload (model declined to judge) | 0.011 | 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".