Bibliographic record
Abstract
For their effective realization, human rights need to be perceived as culturally legitimate, and this in turn requires that they be justifiable pluralistically, engaging all reliable moral discourses. In so far as a human right calls for a specific capability to be respected, protected, and fulfilled, the capability approach can contribute to this task of pluralistic justification in two ways. First, it abstracts from particular goods to valuable functionings and capabilities in a way that affirms the particular conceptions of the good that value them. However, the model of justification adopted by Nussbaum—Rawls's reflective equilibrium—needs to be replaced by anchoring this discussion in knowledge of care and neglect. Second, Nussbaum proposes that equal entitlement to central capabilities can be justified on grounds of equal human dignity, which, as I read it, means that everyone's striving (or at least responsiveness) towards living well in the company of others matters, and matters equally. This affirmation of equal dignity, however, will be undermined if it is treated (as Nussbaum does) as a ‘purely political’ idea excluding public support from particular moral discourses. An alternative approach, responsible pluralism, enables us to enlist the support of all reliable moral discourses in support of equal dignity, rather than confining them to the background culture or the private realm.
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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.047 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| 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".