Bibliographic record
Abstract
This paper tries to reconcile reciprocity with a fundamentally `subject- centred' ethic by interpreting the reciprocity condition as a consequence of the fact that justice is in part a relational value. Duties of egalitarian distributive justice are not grounded on the duty to reciprocate beneﰉts already received, but limited by a reasonable assurance of compliance on the part of those able to reciprocate, because their point is to constitute a valuable relationship, one of mutual recognition as equals. We have unconditional duty to help establish just global institutions, institutions which would allow us to share fairly in the burdens and beneﰉts of global economic cooper- ation, but no unilateral duty to share fairly, where such institutions are not in place. Since non-contribution on the part of those unable to contribute involves no failure of recognition, the disabled do not fall outside the scope of distributive justice.
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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 | 0.022 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.043 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.005 |
| 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".