Bibliographic record
Abstract
La sociologie des inégalités est-elle encore bien vivante, est-elle restée fidèle à ses origines (Karl Marx, Émile Durkheim, Max Weber, Talcott Parsons) ? En partant du constat que les inégalités semblent davantage servir de contexte d’arrière-fond, plutôt que d’être sociologiquement thématisées, je m’interroge sur la provenance des sentiments communs d’injustice. À l’aide de réflexions de Hannah Arendt et de Cornelius Castoriadis, j’en arrive à poser que ce sont les institutions qui nourrissent ces sentiments. Ce sont des institutions et des organisations qui, lorsqu’elles définissent leurs principes d’action dans la société et pour les personnes, posent des normes instituées de justice, celles-là mêmes qui nourrissent les sentiments de justice, mais définissent aussi des contraintes à l’action. En articulant ces dynamiques les unes avec les autres, on peut parvenir à dégager des modes de structuration et de reproduction des inégalités.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".