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Record W2335253908 · doi:10.1177/1468798412442886

Dual-language books as an emergent-literacy resource: Culturally and linguistically responsive teaching and learning

2012· article· en· W2335253908 on OpenAlexaff
Rahat Naqvi, Anne McKeough, Keoma J. Thorne, Christina M. Pfitscher

Bibliographic record

VenueJournal of Early Childhood Literacy · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsLiteracyMultilingualismReading (process)PedagogyDiversity (politics)Teaching methodSociologyEmpowermentCultural diversityLanguage acquisitionPsychologyLinguisticsMathematics education

Abstract

fetched live from OpenAlex

The effectiveness of dual-language book reading in culturally and linguistically diverse classrooms is largely uncontested. Yet there are repeated calls for more research to determine how this resource can be used more broadly and effectively by teachers, especially in emergent-literacy learning contexts. In the present study we analysed culturally and linguistically responsive teaching and learning in dual-language book reading vignettes to demonstrate how teachers and volunteer readers build on linguistic and cultural repertoires of emergent-literacy learners to help them gain metalinguistic awareness, cultural empowerment and identities as capable learners. We argue that diversity can be embraced and multilingualism can be positioned as normal by using dual-language books to motivate discussion about language and cultural artefacts. The findings suggest a rethinking of classroom practices based on family involvement in the classroom and a subtle shift in the balance of authority and expertise among teachers, children and families.

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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.404
Teacher spread0.388 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations85
Published2012
Admission routes1
Has abstractyes

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