Agir dans l’ombre de l’État. Une intervention sociale et militante en direction des déboutés du droit d’asile
Bibliographic record
Abstract
Cet article explore les pratiques d’assistance aux déboutés du droit d’asile. Il s’intéresse aux ressources développées par les intervenants militants ou professionnels pour dépasser les limites de leur action à l’heure où cette dernière est contrainte par la vulnérabilité juridique de cette population. Basé sur une enquête ethnographique, menée dans les réseaux d’aide aux exilés d’une ville du nord de la France à la fin des années 2010, il révèle l’existence d’interventions collectives qui échappent en partie au contrôle de l’État. Au croisement des mondes militant, professionnel et communautaire émergent des configurations d’assistance nouvelles qui associent ressources publiques et privées, légales et illégales et grâce auxquelles les déboutés traversent les épreuves de l’illégalité tout en réunissant les conditions d’une régularisation de leur séjour.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 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; 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".