Destinations initiales et redistribution des principaux groupes d'immigrants au Canada : changements au cours des deux dernieres decennies
Bibliographic record
Abstract
Cette etude examine les changements qui ont touche la concentration geographique des principaux groupes d'immigrants au Canada en ce qui a trait a leur destination initiale et redistribution subsequente au cours des deux dernieres decennies. En meme temps, elle porte sur le role des collectivites immigrantes deja etablies a l'egard du choix de leur lieu d'etablissement par les nouveaux immigrants. Les resultats montrent une augmentation marquee des niveaux de concentration quant a la destination initiale parmi les principaux groupes d'immigrants tout au long des annees 1970 et 1980, tendance qui disparait au cours de la decennie suivante. La redistribution apres l'immigration s'est faite generalement a petite echelle et a eu des effets non uniformes sur la modification de la concentration des destinations initiales chez les groupes d'immigrants et les cohortes d'arrivee a l'interieur d'un groupe. Meme dans le cas des groupes d'immigrants et de refugies dont l'etablissement initial a ete fortement influence par les interventions du gouvernement, la redistribution n'a modifie que partiellement la repartition geographique generale. Enfin, l'etude montre que la taille de la collectivite immigrante deja etablie n'est pas un facteur important quant au choix de leur lieu d'etablissement par les nouveaux immigrants, lorsque les effets fixes du lieu sont pris en compte.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".