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Record W2560835742 · doi:10.15561/20755279.2016.0606

Investigation of Ego and Task Orientation among International Wrestling Referees

2016· article· en· W2560835742 on OpenAlexaboutno aff
Ioannis Barbas, Evangelos Bebetsos, Komninos Christos, David G. Curby, Bahman Mirzaei

Bibliographic record

VenuePhysical Education of Students · 2016
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsOperationalizationElitePsychologyId, ego and super-egoPolitical scienceSocial psychologyPoliticsLaw

Abstract

fetched live from OpenAlex

Aim: study was to investigate any possible effect(s) of experiences from active membership and participation in task or ego orientations among referees in the sport of wrestling. Material: The sample consisted of 213 international referees from 30 countries (Greece, Turkey, Bulgaria, France, Italy, Germany, Sweden, Finland, Switzerland, Russia, Poland, Hungary, U.S.A, Ukraine, Armenia, Azerbaijan, Iran, Japan, Korea, Mongolia, Kazakhstan, Egypt, Canada, Georgia, Croatia, Uzbekistan, Norway, Cuba, Belarus, & Tunisia). Their age ranged from 26 to 60 yrs. old ( M =43, SD =8.6). During the procedure, the participants were asked to fill a specific questionnaire, the «Task and Ego Orientation in Sport Questionnaire» (Duda & Nicholls, 1992). Results: Results showed that the referees from elite wrestling level’ countries (Russia, Azerbaijan, Iran, Turkey, Georgia, Armenia, Bulgaria, Ukraine, U.S.A., Korea, Japan, Kazakhstan, & Cuba) are more task oriented than those from the non-elite wrestling level’ countries. Researchers believe that this occurred because referees from non-elite wrestling level’ countries might have less game-sport experience and more specifically in high level games. At the same time, the Olympic experience referees were more task oriented than the non-Olympic experienced. Conclusion: Referee’s decisions are an important issue in the sport milieu. The investigations in decision-making by referees and factors that affect it are rather scarce and research should focus on such topics. Improvement of decision-making by referees, would lead to safer and better performance. Thus, better understanding of referees’ behavior, through identification and operationalization of the factors affecting it, might lead to more effective selection, training and 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 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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.027
GPT teacher head0.365
Teacher spread0.339 · 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 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
Published2016
Admission routes1
Has abstractyes

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