Bibliographic record
Abstract
La France, Etat-nation, est hantee par la peur que la reconnaissance de la diversite ne remette en cause son unite nationale. Les particularites individuelles peuvent s'exprimer librement dans la sphere privee, mais paraissent ne pas avoir leur place dans l'espace public comme l'ont revele les affaires du burkini, de la burqa ou le refus de reconnaitre a la langue corse un statut officiel. Pourtant les differences linguistiques, culturelles et religieuses ne sont pas necessairement un facteur de fragilisation. Dans certains pays, au premier rang desquels le Canada, elles sont meme promues au rang de symbole national. Leur preservation est devenue le ciment de la cohesion du pays. « Unis par la diversite », ils affichent avec fierte leurs differences comme un etendard et un temoignage de leur capacite a vivre ensemble dans un respect mutuel. Sabine Choquet, se fondant sur le travail d'Arend Lijphart (Democracy in Plural Societies) et le concept de consociation, developpe dans ce livre les modalites de cette forme de regime politique, cohabitation entre des groupes se caracterisant par des interactions specifiques, leur volonte respective de preserver leur autonomie et une conception inedite de l'identite collective. Cet ouvrage arrive a point nomme, a l'heure ou notre pays, Etat-nation, s'interroge douloureusement sur son identite. Par les pistes nouvelles qu'il ouvre, il apporte sa pierre au debat sur la laicite qui semble dans une impasse.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 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".