Bibliographic record
Abstract
Cet article propose de mener une réflexion sur la tension dialectique minoritaire/majoritaire dans une analyse théorique, littéraire et microsociale de l’« apparaître » du minoritaire — l’apparaître étant le « qui » dans le « qui suis-je » qui se déclare ou se signifie dans l’espace social et public. Il s’agira d’appréhender les figures du Juif et du Noir comme des idéaltypes du minoritaire afin d’élaborer une dimension politique spécifique du minoritaire, qui se compose au sein d’une citoyenneté républicaine, individuelle, égalitaire et anonyme. Tout d’abord, nous nous efforcerons d’inscrire cette étude dans une perspective de sociologie politique et morale. Puis, afin de percevoir et d’analyser comment se discute et s’élabore le fait politique et ce qu’implique l’apparition du minoritaire dans le champ social, nous étudierons des textes choisis parmi certains dialogues, correspondances et essais dans le champ des études postcoloniales (Fanon, Hall) et de la « question juive » (Arendt, Sartre).
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".