L’institutionnalisation de la raison publique : le moral et le politique
Bibliographic record
Abstract
La question de l'allégeance morale au libéralisme politique occupe une place centrale dans la théorie de John Rawls. J'arguerai d'abord que, dans la conception de Rawls, le moral et le politique entretiennent un rapport paradoxal qui risque de compromettre l'institutionnalisation de la raison publique telle que Rawls la conçoit. Je proposerai ensuite une nouvelle définition des conditions de l'allégeance morale au libéralisme politique. J'arguerai que ma définition, tout en évitant la tension relevée chez Rawls entre le politique et le moral, est aussi mieux adaptée aux représentations contemporaines du citoyen en tant qu'agent moral et plus conforme aux intuitions courantes concernant le rôle de la moralité dans une démocratie constitutionnelle.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.040 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 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".