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Record W3209250614 · doi:10.1177/1476718x211053027

“This is a mailbox, right?”: Associations of play materials with siblings’ and friends’ shared meanings during pretend play

2021· article· en· W3209250614 on OpenAlexafffund
Nina Howe, Jamie Leach, Ganie DeHart

Bibliographic record

VenueJournal of Early Childhood Research · 2021
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsMacEwan UniversityConcordia University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSet (abstract data type)Prosocial behaviorAggressionPsychologySiblingSocial psychologyDevelopmental psychologyComputer science

Abstract

fetched live from OpenAlex

Play materials designed to enhance children’s pretense were investigated; namely, how the specific characteristics of the play sets (thematically open-ended village set vs thematically closed-ended train set) influenced children’s play communication regarding their co-construction of shared meanings. Participants included 44 7-year-old focal children playing with both play sets with an older or younger sibling and a same-age friend. Play set differentially impacted the type of shared meanings children co-constructed; specifically, the village set promoted more simple strategies (e.g. descriptions) and clarifications (e.g. questions), and the train set facilitated more prosocial behavior (e.g. helping), regardless of play partner. Friends were more likely to initiate play ideas and engage in disruptive behavior (e.g. control, aggression) with the train versus the village. The pattern of findings indicated that children’s play communications may be associated with the specific type of props and that all materials designed for pretense do not enhance it in the same way.

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 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)0.002
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 score0.579
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.037
GPT teacher head0.334
Teacher spread0.296 · 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 teacher head, not a consensus.

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

Citations10
Published2021
Admission routes2
Has abstractyes

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