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Record W3043304802 · doi:10.1177/1086296x20939559

Dual-Language Books: Enhancing Engagement and Language Awareness

2020· article· en· W3043304802 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Literacy Research · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Calgary
FundersAlberta Centre for Child, Family and Community Research
KeywordsLiteracyMetalinguisticsHeritage languagePsychologyPedagogyLanguage Experience ApproachNative-language instructionReading (process)Metalinguistic awarenessFirst languageCompetence (human resources)Mathematics educationLinguisticsTeaching methodLanguage educationComprehension approachVocabulary development

Abstract

fetched live from OpenAlex

This collaborative action research project in Alberta, Canada, explored how dual-language books (DLBs) can foster literacy instruction and learner engagement through language awareness. Canada’s changing demographics have resulted in mother tongue diversity and many urban schools identifying at least 25% of students as being English language learners, making it crucial to include a mix of languages in classroom interactions to engage all learners. The case study combined prereading linguistic prompts with a reading of 10 DLBs, one each week, by guest readers in Urdu, Tagalog, and Spanish, alongside the teacher reading in English. Video recordings and surveys collected data on the teacher’s, guest readers’, and learners’ reflections on the experience. Findings indicate that regardless of the learners’ linguistic heritage or English language competence, the DLBs offered a unique support for literacy engagement while fostering a focus on language awareness, reading strategies, and higher order engagement with text.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.225
GPT teacher head0.587
Teacher spread0.362 · 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