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Record W2121924658 · doi:10.1111/lit.12029

Culturally appropriate pedagogy in a bilingual family literacy programme

2014· article· en· W2121924658 on OpenAlexafffundabout
Nicola Friedrich, Jim Anderson, Fiona Morrison

Bibliographic record

VenueLiteracy · 2014
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of British Columbia
FundersGovernment of Canada
KeywordsFamily literacyLiteracyPedagogyPsychologyRhymeSession (web analytics)Bilingual educationImmigrationLinguisticsPolitical science

Abstract

fetched live from OpenAlex

Abstract Researchers have documented bilingual family literacy programmes in terms of their structure and programming as well as their effect on children's language and literacy development and parents' ability to support such development within the home. What is missing from the discussion is a description of how facilitators mediate understanding within the programme. The purpose of this article is to describe how facilitators working with Karen and Iranian families mediated parents' understanding of the key concepts within the parent‐only segment of a bilingual family literacy programme for immigrant and refugee families in western Canada. Drawing principally from observational field notes at two sites of the programme, we describe the activities and instruction that took place during the introduction to the session,Rhythm, Raps and Rhymes. Supporting data were drawn from a larger 3‐year study. Our findings indicate that the facilitators at both sites mediated the parents' understanding of the benefits of rhythm and rhyme to early literacy by using culturally familiar and relevant content delivered in both the first language of the community and in English, and by drawing from culturally familiar pedagogical practices. Results of this study have implications for the delivery of family literacy programmes within culturally diverse communities.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.361
Teacher spread0.341 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations10
Published2014
Admission routes3
Has abstractyes

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