« <i>Scholars at Risk</i> » : généalogie et usages d’une catégorie migratoire en contexte de mondialisation universitaire
Bibliographic record
Abstract
La catégorie de « scholars at risk » émerge formellement à la fin des années 1990, comme un dispositif de protection des universitaires menacés dans le contexte de la mondialisation universitaire. Cette catégorisation, fruit des mobilisations d’acteurs divers, s’inscrit dans une histoire plus longue des migrations intellectuelles et de la protection des savants persécutés. L’article analyse comment cette catégorie se standardise progressivement à l’échelle internationale, produisant des effets ambivalents sur les parcours et les identités des personnes qu’elle désigne. L’étude des usages sociaux de cette catégorie révèle les stratégies déployées par les universitaires en exil pour négocier leurs statuts et maximiser leurs chances de reclassement, tout en mettant en lumière les tensions entre logiques humanitaires et impératifs universitaires.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.009 | 0.017 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".