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Record W2113293388 · doi:10.1177/1356336x08095673

Children's motivational experiences following autonomy-supportive games lessons

2008· article· en· W2113293388 on OpenAlexaff
James Mandigo, Nicholas L. Holt, Andy Anderson, Joanna Sheppard

Bibliographic record

VenueEuropean Physical Education Review · 2008
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of the Fraser ValleyUniversity of TorontoUniversity of AlbertaBrock University
Fundersnot available
KeywordsPsychologyAutonomyCompetence (human resources)Social psychologyDevelopmental psychologySelf-determination theoryPhysical educationMathematics education

Abstract

fetched live from OpenAlex

The objectives of this study were (a) to examine students' motivational experiences arising from their participation in games lessons based on autonomy-supportive strategies; and (b) to examine the interaction between boys' and girls' motivational experiences across different categories of games. A total of 759 students (380 F, 379 M) from 37 classes (grades four to seven) were taught a lesson from one of four game categories (i.e. target, net/wall, batting/fielding, invasion) using autonomy-supportive techniques. Following the lessons children completed various measures to assess their motivational experiences. Significant between-subject differences did emerge for both gender and games category. Girls reported higher levels of optimal challenge, perceived autonomy-support, and enjoyment whereas boys reported higher levels of perceived competence. For the games category, participants reported higher levels of self-determined motivation in net/wall games whereas invasion games received the lowest motivational ratings of the four games categories.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score0.999

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)0.0030.002

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 head0.035
GPT teacher head0.349
Teacher spread0.315 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations104
Published2008
Admission routes1
Has abstractyes

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