MétaCan
Menu
Back to cohort
Record W4377203790 · doi:10.1353/cye.2017.0020

Comparing Classroom Context and Physical Activity in Nature and Traditional Kindergartens

2017· article· en· W4377203790 on OpenAlexaboutno aff
Joshua Meyer, Ulrich Müller, Sarah J. Macoun

Bibliographic record

VenueChildren Youth and Environments · 2017
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)PsychologyNaturalistic observationMathematics educationAffect (linguistics)Exploratory researchPedagogyDevelopmental psychologyGeographySocial psychologySociologyCommunicationSocial science

Abstract

fetched live from OpenAlex

Growing interest in nature-based learning has resulted in an increasing number of nature schools despite a limited understanding about what kind of instructional approaches are employed or how these approaches affect children's physical activity. The purpose of this exploratory single-observer study was to use naturalistic observations to compare how the instructional context of nature-based and traditional kindergartens affected students' gross body movement and specific activity types, as well as to explore how the structure of these classroom environments influenced students' physical activity. Participants included 81 students attending three nature-based and traditional public kindergartens in Western Canada. Children in nature kindergartens engaged in more slow-easy, moderate, and vigorous gross body movements and a greater breadth of specific activity types than peers in traditional kindergartens. Nature kindergartens provided more opportunities for students to make choices, engage in unstructured activity, and participate in free time than traditional kindergartens. Overall there was more variability across nature kindergarten classrooms than across traditional kindergartens.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.282

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.045
GPT teacher head0.271
Teacher spread0.226 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueChildren Youth and EnvironmentsSame topicAnimal and Plant Science EducationFrench-language works237,207