MétaCan
Menu
Back to cohort
Record W2089727237 · doi:10.1080/10888431003623504

Child Miscues and Parental Feedback During Shared Alphabet Book Reading and Relations With Child Literacy Skills

2010· article· en· W2089727237 on OpenAlexaff
Bronwen J. Davis, Mary Ann Evans, Kailey Reynolds

Bibliographic record

VenueScientific Studies of Reading · 2010
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMiscue analysisAlphabetReading (process)Phonological awarenessVocabularyLiteracyPsychologyVocabulary developmentDevelopmental psychologyMathematics educationComputer scienceLinguisticsTeaching methodReading comprehensionPedagogy

Abstract

fetched live from OpenAlex

We studied 52 parent–child dyads reading an alphabet book to examine the nature of children's miscues and parents' feedback, and whether miscues and feedback were related to each other and to preliteracy skills. Letter knowledge, phonological awareness, and expressive vocabulary were assessed in 5-year-old nonreaders who were also audiotaped reading an alphabet book at home with their parent. Results indicate that after controlling for vocabulary, children with higher phonological awareness more often labeled objects with a name beginning with the page's target letter. Parents provided substantial sustaining feedback after miscues, as though using alphabet books as a way of fostering their child's literacy. Findings highlight the need to consider both the child's skill-base and parent–child interactions to understand the role of alphabet books in literacy development.

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)0.021
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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.009
GPT teacher head0.289
Teacher spread0.279 · 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

Citations25
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueScientific Studies of ReadingSame topicReading and Literacy DevelopmentFrench-language works237,207