Facteurs influençant la constitution de liens entre compatriotes immigrants issus de pays ayant connu de violents conflits internes
Bibliographic record
Abstract
Cet article présente un état des lieux des facteurs influençant la formation de liens entre compatriotes immigrants et réfugiés issus de pays en conflits internes. Nous y évoquons les allégeances politiques et idéologiques, les identités claniques, ethniques ou religieuses, le fait même de se trouver en exil, l’existence de préjugés ou de stéréotypes à l’endroit des immigrants, la taille et la concentration territoriale de la population immigrante concernée ainsi que d’autres facteurs d’ordre personnel comme l’âge des immigrants, leur niveau de scolarité, leur origine urbaine ou rurale, leur situation économique et leur classe sociale ainsi que leur statut migratoire. L’influence de plusieurs de ces facteurs interreliés est généralement en cause et la majorité de ceux-ci ont une influence potentiellement multidirectionnelle. Nous avons cependant constaté des résultats de nature contradictoire, ce qui suggère la nécessité de poursuivre et de raffiner l’étude de ces phénomènes.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".