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Record W2040353398 · doi:10.1080/10888430701773884

Preschoolers' Attention to Print During Shared Book Reading

2008· article· en· W2040353398 on OpenAlexaff
Mary Ann Evans, Karen Williamson, Tiffany Pursoo

Bibliographic record

VenueScientific Studies of Reading · 2008
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsReading (process)VocabularySet (abstract data type)OrthographyPicture booksWord (group theory)SalientLinguisticsPsychologyWord recognitionComputer scienceVisual artsArtificial intelligenceArt

Abstract

fetched live from OpenAlex

Seventy-six children ages 3 to 5 were individually read two storybooks that had been specially formatted to contain salient printed words within the text, and illustrations and text on left or right-facing pages. The reader pointed to each word while reading to half of the children. After each book, children were asked to recognize elements of the illustrations and the specially formatted text elements from among a set of foils. Videotaped sessions were coded for the time children spent looking toward the pages with print versus illustrations. Analyses showed that the percentage of time looking at print was less than 2% in the no-pointing condition but increased with age. Pointing to the words increased print-looking time for all age groups and print target recognition for 4-year-olds. After controlling for receptive vocabulary, visual memory, and maturation associated with these scores, emergent orthography and letter-word identification predicted time looking at print and recognition of the print elements.

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)0.003
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 score0.016
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.053
GPT teacher head0.337
Teacher spread0.284 · 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

Citations127
Published2008
Admission routes1
Has abstractyes

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