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Record W2197575095 · doi:10.31501/rbpe.v1i1.9258

A reversal theory perspective on the motivational states of soccer players in Canada, Germany, and Japan

2018· article· en· W2197575095 on OpenAlexaffabout
Guido Geisler, Larry M. Leith

Bibliographic record

VenueRevista Brasileira de Psicologia do Esporte · 2018
Typearticle
Languageen
FieldPsychology
TopicAdventure Sports and Sensation Seeking
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGermanPsychologyConformityEliteRecreationSalience (neuroscience)Social psychologyPerspective (graphical)AthletesPolitical science

Abstract

fetched live from OpenAlex

This descriptive, exploratory study used a reversal theory framework to examine the in-event motivational states of 179 intercollegiate soccer players in Canada, Germany, and Japan. Information was also gathered on players’ thoughts about the university soccer environment. The results suggest that all of the participants were oriented toward the mastery (strength, control) and conformity motivational states while playing. In addition, Japanese players reported the strongest endorsement of the telic (serious) state, and they were more sympathetic and alloic (concerned with others’ outcomes) than the Canadian and German cohorts. With respect to the salience of these motivational states, Canadian players were most aware of the mastery orientation. In Japan it was the telic state that was most dominant, and in Germany it was spread out between the alloic, autic (concern about own outcomes), and mastery states. Other findings, obtained through content analysis, revealed that university soccer in Canada and Japan fosters both a social and performance-focused atmosphere, while in Germany it is perceived as more social and recreational than in the other two countries. These results provide a preliminary foundation for follow-up cross-cultural work. Future research should also examine the motivational states of more elite players (including those in Brazil) and the correlation of these states with winning and losing over time.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0020.000

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 head0.019
GPT teacher head0.291
Teacher spread0.272 · 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.

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

Citations0
Published2018
Admission routes2
Has abstractyes

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