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Record W3208477049 · doi:10.32920/ryerson.14664579.v1

Exploring children's perceptions of work and play in kindergarten classrooms

2021· preprint· en· W3208477049 on OpenAlexaff
Cassandra Calderone

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsToronto Metropolitan UniversityEducation and Early Childhood Development
Fundersnot available
KeywordsPerceptionPsychologyWork (physics)CategorizationTask (project management)Early childhood educationEarly childhoodQualitative researchProduct (mathematics)Developmental psychologyPedagogySociologyComputer scienceEngineering

Abstract

fetched live from OpenAlex

Through a qualitative method of inquiry, the purpose of the present study was to explore children’s perceptions of work and play in their classrooms using a combination of photography, a categorization task, and semi-structured interviews. Participants included 16 children between the ages of 4 and 6 who were enrolled in kindergarten programs located within childcare centres. Findings show that children made clear distinctions in the characteristics they attributed to work and to play. Children viewed work as tasks that are physical and/or challenging, and often require the production of a final product; whereas play was viewed as enjoyable activities that are freely chosen, involve pretend play, and the manipulation of materials children perceive as toys. Findings from the study can assist educators in developing a deeper understanding of children’s perceptions of work and play that may be useful when implementing play-based early childhood programs. Keywords: children’s perceptions; perceptions of work and play; play-based programs

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)0.002
metaresearch head score (Gemma)0.005
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 score0.041
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0030.005
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
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 head0.101
GPT teacher head0.318
Teacher spread0.217 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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