Éditorial : Hors des grandes villes ! L’accueil des exilé·e·s dans les petits milieux d’immigration
Bibliographic record
Abstract
Incontestablement, la majorit des populations exiles rside en ville. Assurment, les petits centres urbains et les territoires ruraux sont plus souvent associs l'migration qu' l'immigration. Et pourtant Comme la multiplication d'articles de presse 4 et de documentaires 5 en tmoigne, la crise migratoire de 2015 a mis en lumire l'essor de formes multiples et contrastes de l'accueil des populations exiles, contraintes de s'installer dans des territoires peu coutumiers leur prsence. Qu'il soit marqu par des mobilisations anti-migrantes ou au contraire anim par la solidarit des habitantes, initi par les acteurrices locauxales ou impos par l'tat central, l'accueil des exiles en dehors des grands centres urbains est longtemps rest largement invisible aux sciences
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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 | 0.027 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.014 | 0.015 |
| Insufficient payload (model declined to judge) | 0.020 | 0.010 |
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".