Bibliographic record
Abstract
L’appropriation de la thématique du multiculturalisme par les partisans du républicanisme fait l’objet de cet article. Dans un premier temps, il est permis de se demander si l’idée même d’un multiculturalisme républicain fait sens ; mais comme je le montrerai, le refus d’un projet multiculturel républicain est une exception française. Or, chez les penseurs néo-républicains, tels Philip Pettit, John Maynor et Cécile Laborde, le multiculturalisme a reçu une attention particulière. Je montrerai les particularités de chacune de ces approches et en particulier, comment les travaux de Laborde arrivent à résoudre des tensions que la pensée néo-républicaine entretient avec la reconnaissance de la diversité culturelle, en ajoutant une perspective critique à la voie délibérative ouverte par Maynor. L’originalité du multiculturalisme républicain consiste ainsi à rappeler le caractère instrumental de la politisation des identités minoritaires, puisqu’il s’agit à chaque fois de lutter contre l’assignation identitaire que subissent les membres des minorités, et non pas de valoriser publiquement leurs différences.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 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".