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Record W2027740501 · doi:10.1177/1468798411416581

Enhancing vocabulary, print awareness and phonological awareness through shared storybook reading with low-income preschoolers

2011· article· en· W2027740501 on OpenAlexafffund
Pascal Lefèbvre, Natacha Trudeau, Ann Sutton

Bibliographic record

VenueJournal of Early Childhood Literacy · 2011
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversité de MontréalUniversity of Ottawa
FundersCanadian Child Health Clinician Scientist ProgramCanadian Institutes of Health ResearchUniversité Laval
KeywordsPhonological awarenessPsychologyPsychological interventionShared readingVocabularyIntervention (counseling)LiteracyReading (process)Vocabulary developmentDevelopmental psychologyLow incomePedagogyTeaching methodLinguistics

Abstract

fetched live from OpenAlex

The current study compares the effects of two shared storybook reading (SSR) interventions on language and emergent literacy skills of low-income preschoolers. The control intervention targeted language and print awareness, skills for which there is strong evidence of the effect of SSR. The experimental intervention added a focus on phonological awareness, a skill for which there is less evidence of the effect of SSR. Following the interventions, results indicated that the experimental group ( n = 10) outperformed the control group ( n = 13) on phonological awareness scores, but not on vocabulary and print awareness scores. The study also compared the outcomes of the experimental intervention for the low-income participants with the skills of higher-income preschoolers who did not receive intervention. The low-income children in the experimental condition outperformed their higher-income peers ( n = 12) on all three measures. The experimental intervention offers promising techniques for SSR activities in childcare centres.

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)0.002
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.280
Teacher spread0.261 · 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

Citations106
Published2011
Admission routes2
Has abstractyes

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