Démocratie et frontières : le problème de la constitution du demos et le recours à l’histoire
Bibliographic record
Abstract
La réponse conventionnelle au problème des limites du demos est que la théorie de la démocratie n’a pas les ressources normatives pour le résoudre. Les limites du demos nous sont données par l’histoire, dont nous reconnaissons la contingence, et le travail de légitimation démocratique ne peut s’effectuer qu’a posteriori à partir de ces limites. Les critiques cosmopolitiques de cette position mettent en cause sa prémisse. Selon eux, la théorie de la démocratie nous donne une réponse normative au problème des frontières. Elle consiste non pas dans la recherche vaine d’un principe normatif permettant de les déterminer, mais plutôt dans l’idée d’un demos sans limite, plaidant ainsi en faveur d’institutions juridiques ou démocratiques globales. Mon objectif est de montrer les limites de cette critique cosmopolitique afin d’esquisser un argument en faveur d’une version revue et corrigée de la position conventionnelle qui assume pleinement les conséquences de son recours à l’histoire.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.043 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".