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Record W4399295798 · doi:10.1002/rrq.553

Is There a Genetic Confound in the Relation of Home Literacy Environment with Children's Reading Skills? A Familial Control Method Approach

2024· article· en· W4399295798 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReading Research Quarterly · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsReading (process)LiteracyFamily literacyPsychologyRelation (database)Developmental psychologyEmergent literacyPedagogyComputer scienceLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract We examined the relation between home literacy environment (HLE), parents' reading skills, and children's emergent literacy skills (pinyin letter knowledge, phonological awareness, and vocabulary) and reading (word reading and reading comprehension) in a sample of 168 Chinese children ( M age = 74.26 months) followed from kindergarten to Grade 1. Results of structural equation modeling showed that code‐related HLE activities and access to literacy resources continued to predict children's emergent literacy skills after controlling for the effects of family's socioeconomic status and both parents' reading skills. Parents' reading skills also exerted a direct effect on children's reading comprehension. These findings suggest that HLE exerts a true environmental effect on children's reading skills that is not due to a genetic confound.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.774
Threshold uncertainty score0.360

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.351
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