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Record W2573912942

The comparison of elite, blind, and amateur male and female chess players' mental skills in Iran.

2015· article· en· W2573912942 on OpenAlexaboutno aff
Majid Keramati Moghadam, Masoumeh Noureddini, Seyed Navid Hojaji

Bibliographic record

VenueAdvances in Applied Science Research · 2015
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsAmateurElitePsychologyPopulationSignificant differenceApplied psychologySocial psychologyDemographyStatisticsGeographyMathematics
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was the comparison of elite, blind, and amateur male and female chess players’ mental skills in Iran. The statistical population of this study was all elite, blind, and amateur male and female chess players of Iran.478male and female chess players were selected as statistical sample by stratified sampling (Nelitefemale = 32, N blind female = 34, Namateur female = 61,Nelitemale = 228, N blind male = 24, Namateur male = 99). The instrument of measurement was included the Ottawa Mental Skills Assessment Tool (OMSAT-3) under three broader conceptual components: foundation, psychosomatic, and cognitive skills. The collected data were classified by descriptive statistical methods and were analyzed by ANOVA (P≤0.05). The results of this study shows that there is a significant difference between elite, blind, amateur male and female chess players of Iran in the self-confidence, commitment, and mental training components of mental skills but there is no significant difference between elite, blind, amateur male and female chess players of Iran in other components of mental 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 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)0.005
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 score0.091
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
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 head0.113
GPT teacher head0.499
Teacher spread0.386 · 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
Published2015
Admission routes1
Has abstractyes

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