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Record W1486523474

Statut d’immigrant, développement des compétences à un jeune âge et participation aux études postsecondaires: comparaison entre le Canada et la Suisse

2012· preprint· fr· W1486523474 on OpenAlexaboutno aff
Garnett Picot, Feng Hou

Bibliographic record

VenueBern Open Repository and Information System (University of Bern) · 2012
Typepreprint
Languagefr
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Le present document porte sur les differences entre les taux de participation aux etudes postsecondaires des eleves issus de familles d’immigrants et des eleves non immigrants en Suisse et au Canada. Pour les deux pays, un ensemble riche de donnees longitudinales, y compris les antecedents familiaux, les aspirations familiales concernant les etudes postsecondaires et les resultats des eleves mesures au moyen des scores du Programme international pour le suivi des acquis des eleves (PISA), servent a expliquer ces differences. Deux groupes sont analyses : tous les eleves de 15 ans; et tous les eleves de 15 ans du secondaire obtenant de faibles resultats. Les resultats donnent a penser que l’ecart entre la participation aux etudes postsecondaires des eleves issus de familles d’immigrants et des eleves non issus de telles familles, ainsi que ses determinants, different de facon significative entre les deux pays. Cet ecart differe aussi de facon significative selon la region d’origine des eleves. Au Canada, les eleves de familles d’immigrants qui obtiennent de faibles resultats a l’ecole secondaire ont des taux etonnamment eleves de participation aux etudes postsecondaires, particulierement s’ils sont d’origine asiatique. En Suisse, la participation aux etudes postsecondaires chez les eleves obtenant de faibles resultats au secondaire est beaucoup plus faible, peu importe si ceux-ci sont issus ou non de familles d’immigrants. Les raisons possibles de ces differences entre les pays sont examinees, y compris les differences entre les systemes d’immigration et d’education ainsi que les differences entre les repartitions des immigrants selon la region d’origine. On peut trouver d'autres etudes connexes de la Division de l'analyse sociale pourtant sur les themes de l'immigration et de l'education et la formation dans le module Mise a jour sur la recherche sociale.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.025
GPT teacher head0.272
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2012
Admission routes1
Has abstractyes

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