Language, Literacy, Content, and (Pop) Culture: Challenges for ESL Students in Mainstream Courses
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".