Insertion professionnelle d'immigrants récents et réseaux sociaux: le cas de Maghrébins à Montréal et Sherbrooke
Bibliographic record
Abstract
Afin d’identifier les explications que donnent des acteurs d’origine maghrébine des difficultés qu’ils rencontrent à insérer le marché de l’emploi québécois, nous avons mené entre 2001 et 2004 des entrevues auprès de 22 Maghrébins en recherche d’emploi à Montréal et Sherbrooke. Des entrevues ont aussi été menées avec 15 intervenants d’organismes gouvernementaux et para gouvernementaux œuvrant auprès d’une clientèle en recherche d’emploi, dont des Maghrébins. Dans cet article, l’objectif est de saisir à travers les trajectoires individuelles et collectives l’évolution des réseaux de ces immigrants. Nous verrons notamment que la présence d’une communauté de même origine ethnoculturelle ne peut garantir l’élargissement des réseaux s’il n’y a pas de soutien institutionnel significatif et ce, tant du côté de la société que de la communauté elle-même.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.021 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".