MétaCan
Menu
Back to cohort
Record W2970412830 · doi:10.4000/remi.12100

Immigrant Youth in Canadian Postsecondary Education: Pathway Morphologies in the Province of Quebec

2018· article· en· W2970412830 on OpenAlex
Pierre-Canisius Kamanzi, Marie‐Odile Magnan, Annie Pilote, Pierre Doray

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRevue européenne de migrations internationales · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsUniversité du Québec à MontréalUniversité LavalUniversité de MontréalCégep Marie-Victorin
Fundersnot available
KeywordsChristian ministryImmigrationVocational educationAcronymPostsecondary educationSociologyPolitical scienceHigher educationPedagogyLaw

Abstract

fetched live from OpenAlex

This article aims to describe and understand the postsecondary pathway morphologies of immigrant youth in Quebec, as well as the factors contributing to structuring them. The results obtained from the analysis of the Ministry of Education data (N = 20,387) show that these young people pursue postsecondary education through linear pathways in larger proportions than their peers whose parents are born in Canada. However, the differences are much higher at university level than at that of general and vocational colleges (known by their French acronym CÉGEP: Collège d’enseignement général et professionnel). In addition, there are significant differences among immigrant youth according to the geographical region of origin of their parents. In contrast, there is almost no difference in nonlinear pathways. This article suggests some possible interpretations.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.316
Teacher spread0.285 · 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