Au-delà des murs. Maintenir l’ordre à la frontière franco-britannique
Bibliographic record
Abstract
La ville de Calais, un des principaux espaces de transit vers l’Angleterre, a été le théâtre depuis plus de vingt ans d’une sécurisation croissante de son port et du site d’entrée du tunnel sous la Manche afin de filtrer et de bloquer les traversées des personnes migrantes. Au-delà de ces politiques d’immobilisation, les stratégies de contrôle des pouvoirs publics français passent également par une mise en mouvement contrainte des personnes migrantes. En axant le propos sur les pratiques policières de déplacements forcés, cet article souhaite contribuer à l’analyse des dispositifs spatiaux de maintien de l’ordre en contexte frontalier. Il s’appuie, pour ce faire, sur une enquête de terrain menée à Calais entre 2010 et 2015 auprès des acteurs du contrôle migratoire.
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 | 0.001 | 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 | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 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".