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No ESL in English Schools: Language Policy in Quebec and Implications for TESL Teacher Education

2007· article· en· W2157419024 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

VenueTESOL Quarterly · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsMcGill University
Fundersnot available
KeywordsBachelorContext (archaeology)PedagogyMedium of instructionLanguage assessmentGovernment (linguistics)Language educationLanguage policyMathematics educationPsychologySociologyPolitical scienceLinguisticsHistory

Abstract

fetched live from OpenAlex

In this article, various aspects of official language policy in Quebec are seen as interacting with contested and contesting ideologies, as experienced by novice teachers in teaching English as a second or other language within the majority French school system. The context of TESL training in Quebec is described, focusing on legislative policy and the status of English in schools. This is followed by a discussion of problems encountered in the current educational context by students in a bachelor's of education in TESL program at an English university in Montreal, Quebec, Canada. Several concerns were identified through student responses to a questionnaire and from reflection on their student‐teaching experiences. The resulting areas discussed here are the consequences of low student‐teacher language proficiency (English and French); ambivalent or hostile attitudes toward English or English as a second language (ESL) on the part of students and teachers in schools; (non)use of English in the ESL classroom; low motivation of ESL students; and the nature of English language and culture in Quebec. Although none of these is unique to this context, the particular circumstances, history, and ideologies in this context are major factors in the government language policy, popular language attitudes, and second language education practice. For each area of concern, specific ways in which the teacher education program addresses these concerns are described, including excerpts from a student teacher‐to‐student teacher advice handbook.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score0.909

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 head0.011
GPT teacher head0.281
Teacher spread0.269 · 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