MétaCan
Menu
Back to cohort
Record W2100551281 · doi:10.22329/jtl.v4i1.88

“We’ve Got to Stick to the Curriculum, Right?” An Exploration of Female High School Physical Educators’ Beliefs about Competition in Their Classes

2006· article· en· W2100551281 on OpenAlexaffvenue
Ellen Singleton

Bibliographic record

VenueJournal of Teaching and Learning · 2006
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsWestern University
Fundersnot available
KeywordsCompetition (biology)PsychologyCurriculumClass (philosophy)Physical educationPedagogyOrder (exchange)Mathematics education

Abstract

fetched live from OpenAlex

In order to examine physical educators’ personal beliefs about competition, seven female high school teachers took part in individual interviews. Participants discussed their personal beliefs concerning competition, and what they thought their female students believed about competition. Further, they described their pedagogical decision-making in light of these beliefs. Themes emerging from the interviews indicated these teachers believed competition meant experiences that demanded intensity, focus, best performance, skill, and winning. They also believed that students understood competition only to mean winning or losing. Wide variations in skill competency led teachers to highlight participation and fun and downplay competition in class. These pedagogical responses and their implications for physical education teacher educators, student teachers, and practicing physical educators 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 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)0.005
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.004
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.053
GPT teacher head0.427
Teacher spread0.375 · 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

Citations3
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Teaching and LearningSame topicPhysical Education and PedagogyFrench-language works237,207