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Record W1570542339 · doi:10.18806/tesl.v28i1.1057

Identity, Literacy, and English-Language Teaching

2010· article· en· W1570542339 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTESL Canada Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsThinkpath Engineering Services (Canada)University of British Columbia
Fundersnot available
KeywordsLiteracyIdentity (music)PedagogyMeaning (existential)SociologyLanguage educationMathematics educationPsychology

Abstract

fetched live from OpenAlex

In the field of English-language teaching, there has been increasing interest in how literacy development is influenced by institutional and community practice and how power is implicated in language-learners’ engagement with text. In this article, I trace the trajectory of my research on identity, literacy, and English-language teaching informed by theories of investment and imagined communities. Data from English-language classrooms in Canada, Pakistan, and Uganda suggest that if learners have a sense of ownership over meaning-making, they will have enhanced identities as learners and participate more actively in literacy practices. The research challenges English teachers to consider which pedagogical practices are both appropriate and desirable in the teaching of literacy and which will help students develop the capacity for imagining a wider range of identities across time and space. Such practices, the research suggests, will necessitate changes in both teachers’ and students’ identity.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.917
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.016
GPT teacher head0.423
Teacher spread0.407 · 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