Bibliographic record
Abstract
In The Ethics of Care, Virginia Held (2006) explores what values of care might fulfil normative criteria for evaluating the moral worth of relations. Held identifies seven potential values: attentiveness, empathy, mutual concern, sensitivity, responsiveness, taking responsibility, and trustworthiness. Though Held’s work is helpful as a starting point for conceptualizing some normative criteria, two problems need addressing. First, Held does not provide sufficient justification for why these potential values ought to be considered genuine values in the care ethical framework. Second, Held overlooks two other potential values cited in the care literature: competence (Tronto 1993) and respect (Engster 2007). This paper builds upon Held’s work to offer a more coherent understanding of the values of care. It does so by scrutinizing and conceptually organizing the above nine potential values. Of these nine, only four are considered genuine values: attentiveness, mutual concern, responsiveness, and trustworthiness. It is concluded that good caring relations are those that exemplify the four values of care in their deliverance of caring practices.
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 | 0.011 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.059 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".