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Record W4293214081 · doi:10.56105/cjsae.v34i1.5635

Meanings of Quebec’s Linguistic Integration Program as Perceived by Recent Immigrants

2022· article· en· W4293214081 on OpenAlexaffvenueabout
Anna Zagrebina

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsImmigrationGovernment (linguistics)Social integrationSubject (documents)PsychologyProcess (computing)SociologyLinguisticsPedagogyPolitical scienceComputer scienceAnthropology

Abstract

fetched live from OpenAlex

The meanings and effects of government-funded language training programs is an important research subject because it concerns possible prejudices against immigrants and negative stereotypes as well as discussions on the effectiveness of immigrant integration policies in general. The effects of civic integration programs are difficult to measure, and there is insufficient research devoted to such analysis. This study, by applying quantitative content analysis to examine the responses of 73 participants in a linguistic integration program, found the most essential meanings of the program that can be revealed only through personal participation. The results of this study can be used to evaluate language training programs for adult newcomers and provide ideas on which elements of the educational process should receive special attention from teachers and employers of language programs.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.580

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.359
Teacher spread0.338 · 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 designQualitative
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

Citations3
Published2022
Admission routes3
Has abstractyes

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Same venueCanadian Journal for the Study of Adult EducationSame topicFrench Language Learning MethodsFrench-language works237,207