Bibliographic record
Abstract
L’article aborde la scolarisation d’enfants dits « roms roumains » en France, en interrogeant l’attitude des acteurs de l’éducation nationale face à l’altérité ethnique et sociale attribuée à cette population. On y décrypte la façon dont ces derniers tentent de respecter l’injonction républicaine qui leur est faite de rester aveugles aux particularismes des individus tout en tenant compte, pour mieux la neutraliser, de ce qui est considéré comme la culture transnationale de cette population. Après être revenue sur la stigmatisation de la culture rom en France au plus haut niveau, l’autrice montre en quoi les stéréotypes pesant sur les « Roms » constituent la toile de fond du regard que les enseignants portent sur ces élèves. À la différence d’une attitude explicitement raciste, l’analyse souligne que cette ethnicisation est mobilisée sur un mode bienveillant. Elle n’en renforce pas moins une frontière sociale au cœur d’un système éducatif qui se voudrait intégrateur.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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; both teacher heads agree on what is shown here.
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".