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Record W4235189092 · doi:10.1177/000841740006700502

Development of an assessment to identify play behaviours that discriminate between the play of typical preschoolers and preschoolers with pre-academic problems

2000· article· en· W4235189092 on OpenAlexvenueno aff
Karen Stagnitti, Carolyn Unsworth, Sylvia Rodger

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2000
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyDevelopmental psychologyTypically developingCognitionEarly childhoodCognitive developmentPlay therapyInter-rater reliabilityRating scale

Abstract

fetched live from OpenAlex

Occupational therapists regard play as the primary occupation of childhood. However, many authors of play assessments have viewed play either as a functional outcome of other skills or as an indication of the child's developmental level. While such views of play are valid, these approaches to play are broad and do not fully consider the cognitive value of play. A study was undertaken with 82 preschoolers to see if a new play assessment which considers cognitive play skills, called the Child-Initiated Pretend Play Assessment, (ChIPPA), possessed acceptable inter-rater reliability, and could discriminate between the play of typically developing preschoolers and preschoolers with pre-academic problems. This assessment evaluates preschoolers’ elaborate imaginative actions, number of imitative actions, and number of object substitutions. The ChIPPA was found to have excellent inter-rater reliability and did discriminate between children who were typically developing and children who experienced pre-academic problems. In particular, the elaborateness of a child's play actions and the child's ability to substitute objects were strong discriminators of preschoolers with and without pre-academic problems. Three play profiles which emerged from the research 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.

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)0.001
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 score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.183
GPT teacher head0.469
Teacher spread0.286 · 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

Citations46
Published2000
Admission routes1
Has abstractyes

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