Critical Literacy with Adolescent English Language Learners : Exploring Policy and Practice in Global Contexts. [1 ed.]
Bibliographic record
Abstract
This book examines critical literacy within language and literacy learning, with a particular focus on English as an Additional Language learners in schools who traditionally are not given the same exposure to critical literacy as native-English speakers. An important and innovative addition to extant literature, this book explains how English language teachers understand critical literacy and enact it in classrooms with adolescent English language learners from highly diverse language backgrounds. This book brings together the study of two intersecting phenomena: how critical literacy is constructed in English language education policy for adolescent English language learners internationally and how critical literacy is understood and enacted by teachers amid the so-called ‘literacy crisis’ in neoliberal eduscapes. The work traces the ways critical literacy has been represented in English language education policy for adolescents in five contexts: Australia, England, Sweden, Canada and the United States. Drawing on case study research, it provides a comparative analysis of how policy in these countries constructs critical literacy, and how this then positions critical engagement as a focus for teachers of English language learners. Empirically based and accessibly written, this timely book will be of interest to a wide range of academics in the fields of adolescent literacy education, English language learning and teaching, education policy analysis, and critical discourse studies. It will also appeal to teachers, post-graduate students and language education policy makers.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".