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Record W4413637968 · doi:10.46425/cjed701021215

It starts at home: Home language and literacy practices in Jamaica

2024· article· en· W4413637968 on OpenAlexaff
Shawna‐Kaye D. Tucker, Victoria A. Murphy, Hamish Chalmers

Bibliographic record

VenueCaribbean Journal of Education and Development · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsUniversity of Toronto
FundersClarendon FundUniversity of Oxford
KeywordsLiteracyHome languageSociologyLinguisticsPedagogyPhilosophy

Abstract

fetched live from OpenAlex

This study explores the nature of home language and literacy environments (HLLEs) among primary school learners in Jamaica, contributing to the limited body of Caribbean-based research in this area. Grounded in ecological systems theory, the study considers how multiple contextual factors in the home interact to shape children’s literacy development. Data were collected from 114 caregivers who completed an HLLE questionnaire. Findings indicate generally low levels of print engagement and limited participation in formal literacy activities (practices known to support reading and writing), with many caregivers placing greater responsibility on teachers. Jamaican Creole was more frequently used in many homes than English, potentially influencing children’s transition from conversational fluency to academic language proficiency in school. At the same time, community religious programs also emerged as important spaces for supplemental literacy engagement. The study underscores the need for culturally responsive approaches and tools in literacy research that reflect the broader sociocultural realities shaping language and literacy development in the Caribbean.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.262
Threshold uncertainty score0.522

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.036
GPT teacher head0.391
Teacher spread0.355 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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