L’intégration, à la jonction du discours normatif et de l’expérience vécue : des demandeurs d’asile s’expriment
Bibliographic record
Abstract
Cet article met en relief les représentations que se font des demandeurs d’asile, acceptés comme réfugiés à Montréal, du processus d’intégration et vise à intégrer leur discours dans les discussions et les débats en cours au sein des sphères académiques et institutionnelles. On y propose une réflexion sur la négociation qu’impliquent les processus d’intégration entre le discours normatif véhiculé dans la société d’accueil et les conceptions subjectives issues des expériences vécues. Nos observations permettent d’aborder quelques implications pour la pratique du travail social effectué auprès de ces populations et insiste sur l’importance pour les intervenants d’utiliser un cadre d’analyse qui privilégie une vision globale des processus d’intégration considérant, non seulement des indicateurs objectifs, mais également des indicateurs subjectifs et qualitatifs.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.029 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".