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Record W2267421028 · doi:10.5539/ies.v11n12p117

Young Children’s Journey into a World of Play with Open-Ended Materials: A Case Study of the Creative Play Club

2018· article· en· W2267421028 on OpenAlexvenueno aff
Monirah A. Al-Mansour

Bibliographic record

VenueInternational Education Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsAffordancePsychologyClubMeaning (existential)PedagogySocial psychologyMedicine

Abstract

fetched live from OpenAlex

This study is mainly based on conducted naturalistic descriptive observation of 13 children ages 6–8 years using open-ended materials in their play at the Creative Play Club (CPC). The research carefully examines and analyzes how four boys and nine girls in the CPC used open-ended materials in their play over 8 weeks. One aim was to evaluate changes in the quality of play over time. A second aim was to analyze the influence of various factors on children’s social and nonsocial play behaviors. Those factors were the materials’ characteristics and affordances and the social activity setting. The research gave special attention to the possible influences that flatten expression in play and those influences that might reignite play expression within or across CPC sessions. The research generated evidence that children’s drawing, manipulating objects, and reflecting are meaning making. Interpretations of data were guided by an activity setting model, affordance theory, and a multimodality and meaning-making conceptual framework. The main findings were that the CPC and the case study are good conduits for exploring the possibilities and challenges that emerge from children’s experiences with open-ended materials in play with other children.

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)0.006
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0150.011
Scholarly communication0.0070.004
Open science0.0030.007
Research integrity0.0030.005
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 head0.076
GPT teacher head0.378
Teacher spread0.302 · 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 designQualitative
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

Citations1
Published2018
Admission routes1
Has abstractyes

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