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Record W4387816148 · doi:10.33902/jpsp.202321212

A naturalistic study of elementary recess in Canada

2023· article· en· W4387816148 on OpenAlexaffabout
Thomas G. Ryan

Bibliographic record

VenueJournal of Pedagogical Sociology and Psychology · 2023
Typearticle
Languageen
FieldDecision Sciences
TopicPsychometric Methodologies and Testing
Canadian institutionsNipissing University
Fundersnot available
KeywordsNaturalismPsychologyMathematics educationMathematicsEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

The purpose of this naturalistic observation study was to observe in a natural setting, the actions of elementary level students during recesses to better understand student behaviour. Three different students were observed each 20-minute recess and the recorded behaviors produced data that revealed activity or lack of each recess. Recess, an informal period where students at the elementary level in grades kindergarten through eight were observed playing, communicating or being inactive, proved surprising. 432 (18 observations per session x 12 sessions x 2 schools) direct observations led to facts and conclusions that recess was a time to communicate with others while moving in various physical ways that exposed distinct patterns of play (games), walking, standing (idleness), individuality and group cohesion. Generally, students were engaged in play that was informal, spontaneous, and active which is a pragmatic outcome that builds upon our knowledge of recess in elementary schools.

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)0.007
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.744
GPT teacher head0.603
Teacher spread0.142 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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