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Record W2063358265 · doi:10.3138/cmlr.58.1.103

Language, Literacy, Content, and (Pop) Culture: Challenges for ESL Students in Mainstream Courses

2001· article· en· W2063358265 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.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamLiteracyVariety (cybernetics)Reading (process)PedagogyClass (philosophy)EthnographyMathematics educationSociologyPsychologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

This paper examines issues confronting ESL students in mainstream content areas at the secondary school level. Relevant research on the integration of language, content, literacy, and culture in courses is reviewed, followed by a discussion of findings from an ethnographic study conducted at a Canadian school with a high concentration of Asian-background ESL students. The focus is the discourse contexts for mainstreamed ESL students in two Grade 10 social studies classes. Requirements for ESL students' successful participation in such courses included, but went beyond, existing prescriptions and practices for students' integration and academic success. Recorded observations over a two-year period revealed that to succeed in class, students needed to participate in a variety of types of classroom discussion and reading and writing activities; they also needed a current knowledge of popular North American culture, mass media, and newsworthy events; an ability to express a range of critical perspectives on social issues and to enter quick-paced interactions; and a great deal of confidence. Examples of these features of social studies discourse, implications for ESL students and content teachers, and some instructional remedies are presented and discussed.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.842
Threshold uncertainty score1.000

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 studies0.0000.000
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 head0.066
GPT teacher head0.400
Teacher spread0.334 · 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