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Record W37107832 · doi:10.3390/ijerph20085550

A Review of Research on Physical Education Teacher Socialization from 2000-2012

2014· review· en· W37107832 on OpenAlexaff
Stephen Pike, Tim Fletcher

Bibliographic record

VenueRevue phénEPS / PHEnex Journal · 2014
Typereview
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsBrock UniversityMemorial University of Newfoundland
FundersKing Hussein Cancer Center
KeywordsSocializationPhysical educationCoachingPedagogyPsychologyTeacher educationMathematics educationSocial psychology

Abstract

fetched live from OpenAlex

In this article we review research on physical education teacher socialization from 2000-2012. Much of the research prior to 2000 spoke of the prominence of a coaching orientation in new recruits, however, O’Bryant, O’Sullivan, and Raudensky (2000) were among the first to signal a shift toward teaching orientations present in new recruits and experienced teachers they studied. This shift initiated a renewed focus on physical education teacher socialization research over the last twelve years. However, since that time the research has not been synthesized. As a result, the purpose of this review is to examine: (a) the extent that research on physical education teacher socialization has documented changes in the nature of socialization since 2000; (b) why this may have occurred, and (c), implications for PETE programs, schools, and teaching physical education. Patterns are identified and based upon the analysis, recommendations are made for future research.

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)0.004
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0110.017
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.423
GPT teacher head0.648
Teacher spread0.224 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations29
Published2014
Admission routes1
Has abstractyes

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