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Record W4409282008 · doi:10.18192/olbij.v14i1.6767

Language, dreams, and integration: Stories from Canada’s LINC students

2025· article· en· W4409282008 on OpenAlex
Albert Maganaka

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOLBI Journal · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsMcGill University
Fundersnot available
KeywordsLinguisticsSociologyPhilosophy

Abstract

fetched live from OpenAlex

This article investigates the dynamics of language learning and cultural integration within the Language Instruction for Newcomers to Canada (LINC) program, focusing on the experiences of three former students who completed Canadian Language Benchmark (CLB) level 5 proficiency in Alberta. Through qualitative interviews and questionnaire responses, this article explores how participation in the LINC program influenced their personal and professional growth, the ways in which the program assisted them, and their future goals in Canada. Drawing on Norton’s theoretical framework of identity, investment, and imagined communities, the research highlights the multifaceted nature of language learning and its implications for immigrant adaptation and socio-economic integration. The findings underscore the students’ resilience, commitment, and aspirations in navigating linguistic and cultural transitions, thus contributing to a deeper understanding of language education and immigrant integration in the Canadian context. Recommendations include diversifying participants, integrating student feedback, and exploring blended learning approaches.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.257
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