Pourquoi la démocratie délibérative est-elle différente ?
Bibliographic record
Abstract
Tous les théoriciens de la démocratie ont à confronter le problème fondamental qui consiste à trouver une façon moralement justifiable de prendre des décisions collectives contraignantes face à des désaccords moraux persistants. Une théorie délibérative de la démocratie nous fournit l’approche la mieux défendable de ce problème parce qu’elle laisse ouverte la possibilité que les valeurs morales exprimées par un large éventail de théories puissent être justifiables. Le principe fondamental de notre théorie délibérative est que les citoyens doivent se justifier réciproquement les lois qu’ils s’imposent mutuellement. Les citoyens ou leurs représentants offrent des raisons les uns aux autres dans un processus permanent de justification mutuelle. Les principes qui guident ce processus sont provisoires moralement et politiquement et permettent donc la persistance du désaccord moral à propos de lois, de politiques et d’institutions tout en ouvrant la possibilité de l’accord moral sur les lois, politiques et institutions qui sont mutuellement justifiables.
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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 | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.036 |
| Scholarly communication | 0.017 | 0.022 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".