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Record W1516227773 · doi:10.18806/tesl.v21i2.172

Presenting Canadian Values in LINC: The Roles of Textbooks and Teachers

2004· article· en· W1516227773 on OpenAlexvenueaboutno aff
Ron I. Thomson, Tracey M. Derwing

Bibliographic record

VenueTESL Canada Journal · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsMandateClass (philosophy)PsychologyPedagogyObstacleMathematics educationSociologyPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

A survey of 63 employees in LINC programs in Ontario, British Columbia, and Alberta Indicated that the mandate of LINC to incorporate information on 'Canadian values' remains partly unfulfilled. Although professionally trained ESL instructors may be equipped to incorporate Canadian values into the content of classroom instruction, those who lack specific preparation are likely to rely on published texts. We analyzed 67 textbooks used in LINC programs. In general, most of the materials have little in the way of Canadian content and even less in the way of Canadian values. The survey responses suggested that some teachers dealt with general Canadian values if they cam up in class: others, however, felt that it was inappropriate to deal with such complex topics in LINC programs and that the proficiency level of LINC students was an obstacle. Most teachers felt that survival English was paramount in LINC.

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 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.676
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.036
GPT teacher head0.383
Teacher spread0.347 · 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 teacher head, 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

Citations22
Published2004
Admission routes2
Has abstractyes

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