Les activités transnationales des associations de migrants serbes et kosovars en Suisse
Bibliographic record
Abstract
Being Italian in Italy, Sicilian in Sicily, or Basque in the Pyrenees obviously represents much weaker self-and external identifiers than being Italian in Toronto, Sicilian in Milan or Basque in Montevideo. 1 L a migration a pour effet de renforcer les identits collectives fondes sur des critres nationaux, ethniques, religieux ou rgionaux.On voit cette lapalissade se concrtiser -sous la forme d'organisations d'immigrsdans toutes les rgions du monde qui connaissent des afflux de personnes venues d'ailleurs.Cette manie de l'association typique des migrants a suscit de nombreuses tudes scientifiques, notamment en relation avec l'immigration du dbut du sicle pass aux Etats-Unis ou celle de l'aprs-guerre en Suisse.Le caractre frappant du phnomne en question a d'ailleurs donn lieu quantit de proverbes.On dit par exemple, propos des immigrs allemands aux Etats-Unis : Put three Germans together and in five minutes you'll have four clubs , ou sur les Japonais au Brsil : Two Japanese make an association, and three found a newspaper. 2 Les organisations de migrants 3 sont trs diverses bien des gards, selon le but qu'elles poursuivent, leur degr de formalisation, d'organisation ou de professionnalisme, leur composition et leurs activits, leurs liens avec des institutions locales dans le pays d'accueil ou d'origine.Il y a des organisations homognes ou htrognes quant l'origine de leurs membres, des associations sportives, des groupes religieux, des associations fminines ou culturelles, des organisations parentales, estudiantines ou professionnelles, ou encore des hometown associations -il est pratiquement impossible d'en faire une liste exhaustive 4 .
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".