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Record W2119510921 · doi:10.5539/ies.v6n5p1

“I Need to Move and So Do the Children”

2013· article· en· W2119510921 on OpenAlexvenueno aff
Serap Sevimli-Çelik, James E. Johnson

Bibliographic record

VenueInternational Education Studies · 2013
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyEarly childhood educationEarly childhoodCompetence (human resources)Developmental psychologyProfessional developmentPedagogyPreschool educationKnowledge levelMathematics educationSocial psychology

Abstract

fetched live from OpenAlex

It is generally known that preschool teachers express positive attitudes toward physical activity (PA) for young children inasmuch as teachers consider it important to children’s well-being and overall development and learning. Less clear is the relationship between teachers’ positive attitudes in this regard and their backgrounds and classroom practices. A total of 149 preschool teachers completed questionnaires about physical activity practices in their classrooms. The results indicate that the majority of the teachers supported PA in preschool years. However, they have limited knowledge of and little competence in regard to teaching PA. Sixty-one percent of the teachers indicated their awareness of their limitations on this point and thus requested professional development opportunities relating to early-childhood PA. This study supports the case for concerted programming in an important yet neglected area of early-childhood education.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0030.004
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0190.013

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 head0.021
GPT teacher head0.353
Teacher spread0.332 · 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

Citations14
Published2013
Admission routes1
Has abstractyes

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