Bibliographic record
Abstract
In a recent article, Gauthier (2013) rejects orthodox rational choice contractarianism in favor of a revisionist approach to the social contract that, according to him, justifies his principle of maximin proportionate gain (formerly the principle of minimax relative concession or maximin relative benefit) as a principle of distributive justice. I agree with Gauthier that his principle of maximin proportionate gain cannot be justified by orthodox rational choice contractarianism. I argue, however, that orthodox rational choice contractarianism, before and after Gauthier, is still a viable approach to the social contract, although the scope of this approach is limited. Orthodox rational choice contractarianism can be applied fruitfully to moral philosophy only in situations of deep moral pluralism in which moral reasoning is reduced to instrumental reasoning, because the members of society do not share, as assumed by traditional moral theories, a consensus on moral ideals as traditionally conceived as a starting point for the derivation of moral rules but only an overarching end that they aim to reach. If orthodox rational choice contractarianism is applied adequately, then it offers a viable approach to the social contract that, in contrast to Gauthier’s theory, justifies a rival principle for distributive conflicts that is valid for deeply morally pluralistic societies.
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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 | 0.014 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.024 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.008 |
| 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".