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Record W3196802573

Mental Skills of Iranian Women in Premier League Soccer

2021· article· en· W3196802573 on OpenAlexaboutno aff
Ali Mazaherinezhad, Niloufar Dirmanchi, Hooman Angoorani, Sahar Kiaei Daronkola, Seyed Mohsen Rahimi

Bibliographic record

VenueTurkish Online Journal of Qualitative Inquiry · 2021
Typearticle
Languageen
FieldHealth Professions
TopicProblem Solving Skills Development
Canadian institutionsnot available
Fundersnot available
KeywordsLeaguePsychologyCognitionTest (biology)Applied psychologyClinical psychologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Mental Skills are important factors for successful sports performance in professional sports, including soccer. The purpose of this study was to assess the mental skills of Iranian Women Premier League Soccer players. Methods: In this cross-sectional study, 122 premier league players volunteered to participate. They completed the Ottawa Mental Skills Assessment Tool-3 (OMSAT-3). This test is a reliable and valid instrument containing 48 questions assessing three main psychological components skills including basic, psycho-somatic, and cognitive skills. Results: The results showed there were significant differences between the basic mental skill (22.72±2.67) compared to cognitive (19.7±2.54) and psychosomatic (18.83±1.38) components (P=0.0001, P-0.0001), respectively. Conclusion: It was concluded that the mental skills of Soccer players in the Iranian Women Premier league need improvement in several sub-skills.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
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 head0.155
GPT teacher head0.514
Teacher spread0.359 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueTurkish Online Journal of Qualitative InquirySame topicProblem Solving Skills DevelopmentFrench-language works237,207