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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 OpenAlexaffabout
Pierre-Canisius Kamanzi, Marie‐Odile Magnan, Annie Pilote, Pierre Doray

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.

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)0.002
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 score0.034
Threshold uncertainty score0.250

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0010.002
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 head0.031
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

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

Citations2
Published2018
Admission routes2
Has abstractyes

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