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Record W1560339098 · doi:10.55016/ojs/ajer.v55i1.55274

Age and Task-Related Effects on Young Children’s Understanding of a Complex Picture Story

2009· article· en· W1560339098 on OpenAlexfundvenueno aff
Denyse V. Hayward, Phyllis Schneider, Ronald B. Gillam

Bibliographic record

VenueAlberta Journal of Educational Research · 2009
Typearticle
Languageen
FieldComputer Science
TopicEducational Research and Pedagogy
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaChildren's Health Foundation
KeywordsPsychologyDevelopmental psychologyTask (project management)

Abstract

In this study we examined age- and task-related effects in story schema knowledge across an independent narrative task (story formulations) and a supported narrative task (answering questions). We also examined age-related changes to questions about the story as a whole. Participants were typically developing English-speaking children aged 4, 5, and 6 (50 per age group). Results showed more successful performance on all tasks as a function of age. In addition, all the children were more successful in the supported versus independent narrative context. Results are discussed in terms of the importance of oral narratives to social and educational milieus.

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: venue_new · design weight: 2684.25 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Developmental study of children's story comprehension; educational psychology, not a study of educational research.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

The study examines children's narrative development and story comprehension.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Developmental study of children's story understanding; educational psychology, not metaresearch.

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)0.003
metaresearch head score (Gemma)0.025
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 score0.003
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.098
GPT teacher head0.405
Teacher spread0.307 · 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

Citations19
Published2009
Admission routes2
Has abstractyes

Explore more

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