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Record W2788722687 · doi:10.1080/10888438.2018.1435663

Examining an Extended Home Literacy Model: The Mediating Roles of Emergent Literacy Skills and Reading Fluency

2018· article· en· W2788722687 on OpenAlexafffundabout
Tomohiro Inoue, George K. Georgiou, Rauno Parrila, John R. Kirby

Bibliographic record

VenueScientific Studies of Reading · 2018
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsQueen's UniversityUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFluencyPhonological awarenessReading (process)LiteracyReading comprehensionVocabularyPsychologyComprehensionFamily literacyEmergent literacyLearning to readPhonemic awarenessVocabulary developmentShared readingDevelopmental psychologyComputer scienceMathematics educationTeaching methodLinguisticsPedagogy

Abstract

fetched live from OpenAlex

We examined the developmental relationships between home literacy environment (parent teaching, shared book reading) and emergent literacy skills (phonological awareness, letter knowledge, vocabulary, rapid naming speed) in kindergarten, reading accuracy and fluency in Grade 1, and reading comprehension in Grades 2 and 3 in a sample of Canadian children learning to read English (N = 214). Results from a latent variable model showed that parent teaching predicted letter knowledge and phonological awareness, and shared book reading predicted vocabulary and rapid naming speed after controlling for family socioeconomic status. Moreover, both parent teaching and shared book reading contributed indirectly to reading accuracy and fluency in Grade 1, which then mediated the effects of home literacy environment on reading comprehension in Grades 2 and 3. The results suggest that the effects of home literacy environment on later reading development are distributed via more pathways than previously thought.

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)0.002
metaresearch head score (Gemma)0.007
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.552

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.044
GPT teacher head0.371
Teacher spread0.327 · 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

Citations144
Published2018
Admission routes3
Has abstractyes

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