Penser la justice sociale : entre redistribution et revendications identitaires
Bibliographic record
Abstract
L’émergence dans le paysage politique des sociétés modernes de revendications identitaires a eu tendance à recibler l’entendement que l’on a généralement de la justice sociale. Pour plusieurs, désormais, la volonté authentique de reconnaissance des différences identitaires constitue la marque fondamentale d’une société juste. Cette vision des choses s’oppose à la vision plus traditionnelle de la justice qui pose d’abord la problématique en termes de redistribution des ressources matérielles. Cette dichotomisation conceptuelle de la justice est politiquement improductive et ne correspond pas à la réalité, car les manifestations d’injustice opèrent dans les faits sur l’un et l’autre pôle à la fois. Cet article développe un modèle théorique et normatif qui intègre plutôt en un cadre unifié les revendications identitaires et celles formulées à des fins de redressement économique.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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 teacher head, 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".