English Language Learners in Canadian Schools: Emerging Directions for School-Based Policies
Bibliographic record
Abstract
This article attempts to provide ESL teachers, school administrators, and policymakers with a concise overview of what matters in promoting academic success among learners of English in Canadian schools. We review research focused on bilingual and biliteracy development, the nature of academic language, and the roles of societal power relations and identity negotiation in determining the academic achievement of English language learners (ELL). On the basis of this research, we propose the Literacy Engagement framework that identifies literacy engagement as a major determinant of literacy achievement for ELL and non-ELL students. In order to enable ELL students to engage with literacy, the framework highlights the importance of teachers scaffolding meaning, connecting with students’ lives, affirming student identities, and extending their awareness and knowledge of language across the curriculum. The application of the framework is illustrated with reference to the literacy and academic learning experiences of two ELL students in the Toronto area.
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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 | 0.012 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.023 | 0.009 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 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".