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Record W2902553238 · doi:10.14288/bctj.v3i1.303

From Stigma to Strength: A Case of ESL Program Transformation in a Greater Vancouver High School

2018· article· en· W2902553238 on OpenAlex

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

VenueOpen Collections · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEllImmigrationEnglish as a second languagePedagogyEnglish languageStigma (botany)PsychologyContext (archaeology)SociologyMathematics educationPolitical scienceTeaching method

Abstract

fetched live from OpenAlex

The rapid increase of Asian immigrant students in Canadian classrooms demands more systematic and increased language support to ensure all English language learners (ELLs) achieve success in school. However, research has found mixed results on the usefulness of current English as a Second Language (ESL) support programs and a growing dissatisfaction among students and parents about ESL, suggesting further investigation is needed to improve the provision of ESL in the schools. This paper details how one school and one ESL teacher responded to the needs of newly arrived Asian (i.e., Chinese) ELL students by documenting the school’s and teacher’s journey in revamping the pull-out ESL program into a culturally responsive English for Academic Purposes (EAP) program with a focus on immersion, community engagement, and a pedagogy of cultural reciprocity. The case has important implications for redesigning current ESL programs in the context of changing immigration.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.473
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.056
GPT teacher head0.447
Teacher spread0.391 · 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