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Language Background, Ethno‐Racial Origin, and Academic Achievement of Students at a Canadian University

2009· article· en· W2153267390 on OpenAlex
J. Paul Grayson

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

VenueInternational Migration · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsYork University
Fundersnot available
KeywordsImmigrationDisadvantageEthnic groupEducational attainmentAcademic achievementFirst languageSociologyDemographyPsychologyPolitical sciencePedagogyMedicineAnthropology

Abstract

fetched live from OpenAlex

Abstract Research conducted in Canada and the United States shows that the age of arrival of immigrant children, language spoken in the home, and ethno‐racial origin have consequences for English language acquisition and academic attainment. So far, however, the degree to which these factors have consequences for academic achievement at the post‐secondary level has scarcely been studied. In this study, it is found that the communication skills of university students who are the sons and daughters of immigrants, independent of length of time in Canada, are not as high as those of native‐born English‐speaking Canadians. Moreover, all else being equal, independent of length of time in the country, the university GPAs of immigrant and non‐European origin groups are generally lower than those of native‐born Canadians. Findings such as these suggest the presence of social and cultural processes at the family, community, and educational system level that continue to disadvantage identifiable groups of post‐secondary students.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.546
Threshold uncertainty score0.857

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.038
GPT teacher head0.419
Teacher spread0.381 · 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