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Record W1966000554 · doi:10.1177/082957350301800105

Children's Story Retelling and Comprehension Using a New Narrative Resource

2003· article· en· W1966000554 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

VenueCanadian Journal of School Psychology · 2003
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsNarrativePsychologyComprehensionGrammarDevelopmental psychologyStory tellingLinguistics

Abstract

fetched live from OpenAlex

This study used the Strong Narrative Assessment Procedure (SNAP) to examine story retelling in children. The skills assessed include story grammar, comprehension, story length, and retelling errors. The 6i participants (grade 2-6) we.re randomly assigned to one of three stories that were then seen and heard. Each child. responded. to lo comprehension questions after retelling the story. Analysis of the transcripts revealed an age effect in retelling Internal Responses, and an age-related trend in reporting Attempts. As well, girls outperformed boys when answering inferential comprehension questions. Importantly, the results show that the SNAP stimulus stories are not equivalent, thus limiting their usefulness for test-retest purposes. These results support expected age differences in story structure as well as the relatively stronger verbal working memory in girls. Issues that relate to the use of the SNAP for assessing children's narrative skills are discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.040
GPT teacher head0.316
Teacher spread0.275 · 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