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Record W2889980579 · doi:10.29252/aassjournal.6.3.23

Discriminating Mental Skills among Adolescent Elite and Competitive Soccer and Volleyball Players

2018· article· en· W2889980579 on OpenAlexaboutno aff
Zahra Fathirezaie, Seyed Hojjat Zamani Sani, Safyeh Ebrahimi, Serge Brand, Iraj Jahanbakhsh, Saeed Nazari

Bibliographic record

VenueAnnals of Applied Sport Science · 2018
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsSports biomechanicsEliteKinesiologyPsychologyApplied psychologyElite athletesSociology of sportAthletesSports medicineCompetitive athletesPhilosophy of sportSport psychologyPhysical therapyEngineeringMedicineSimulationPolitical sciencePsychiatrySocial scienceSociology

Abstract

fetched live from OpenAlex

Background. Mental skills are defined as a set of trainable mental abilities and methods that are held to underpin successful learning and performance. Objectives. The aim of the present research was to study and compare the mental skills of adolescent elite and competitive volleyball and soccer players. Methods. The sample consisted of 100 players (54 elite soccer, 13 elite volleyball, 18 competitive soccer and 15 competitive volleyball) selected via a purposive sampling method. Data were collected using the Ottawa Mental Skills Assessment Tool-2 (OMSAT-2). Results. Elite and competitive volleyball players had higher scores for stress reactions than elite soccer players. In addition, elite soccer players had more self-confidence than competitive soccer and volleyball players. Also, competitive volleyball players had higher levels of fear than elite soccer players. There were no other significant differences in mental skills between soccer and volleyball players. Conclusion. It seems that adolescent volleyball players stand in more immediate need of learning strategies for coping with stress, fear and self-confidence management than soccer players. Results are discussed in terms of an athlete’s levels, the nature and characteristics of the sport and choking during performance.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
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 studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.351
Teacher spread0.323 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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