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Record W2100863009 · doi:10.1080/17461391.2013.827241

Sport and exercise psychology research and Olympic success: An analytical and correlational investigation

2013· article· en· W2100863009 on OpenAlexaboutno aff
Attila Szabó

Bibliographic record

VenueEuropean Journal of Sport Science · 2013
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsSport psychologyApplied psychologyPsychologyAthletesPhysical therapyMedicine

Abstract

fetched live from OpenAlex

The aim of the current inquiry was to identify the national origin of scholars who lead the work in the area of Sport and Exercise Psychology, and to examine whether their research output is connected to the Olympic success of their national athletes. Consequently, the two specialised journals with the highest impact factors in this field were examined for the origin of publications throughout 11 years for authors' national affiliations. Subsequently, the link between national research output and Olympic medals was examined. The results revealed that over 50% of the publications originate from Canada, the U.K. and the U.S.A. National research output in Sport and Exercise Psychology was correlated with the number of Olympic medals; the proportion of shared variance was 42% and 57%, respectively, in the two journals. Nevertheless, it is posited that the observed link is primarily due to other factors that ought to be examined in 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 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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.084
GPT teacher head0.377
Teacher spread0.293 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2013
Admission routes1
Has abstractyes

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