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Record W2917446022 · doi:10.5539/ies.v12n3p105

Mental Education of Football Referees: Mental Suitcase of Modern Football Referees

2019· article· en· W2917446022 on OpenAlexvenueno aff
Mustafa Serdar Terekli, Halil Orbay Çobanoğlu

Bibliographic record

VenueInternational Education Studies · 2019
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsFootballLeagueChampionshipCompetition (biology)AthletesBasketballPublic relationsClubAdvertisingMarketingPolitical sciencePsychologyBusinessLaw

Abstract

fetched live from OpenAlex

The aim of this study is to determine the characteristics of the referees who have an important place in the football world where great developments are experienced day by day. Football has grown incredibly and globalized in recent years. Many sports clubs and leagues constitute a large sector that extends far beyond the national community to international audiences. This global growth has enabled the expansion of financial resources, especially in the professional market sector. This development of football and clubs also affected the referee process. Now audiences, athletes and club managers expect the referees to show management that they are making less mistakes, making the right decisions, being fair, and preventing sports injuries from occurring. The referees are persons who are assigned to competitions by national and international federations that have the authority to administer the competition on the basis of rules. In many parts of the world, fans, athletes, coaches are often complaints about the judges’ prejudice against the teams and their inadequacies. Referee decisions are very important in terms of a team winning the championship, falling league and competing in Europe. It is increasing day by day to criticize the judges ‘behavior and decisions in the competition, especially since the clubs’ ever-growing incomes and sales of TV broadcast rights are expressed in millions of dollars. In particular, the monitoring of the game field with many cameras and evolving video technology is closely examining the actions of the referees and the players in the closest distance and the number of repetitions too intensely. Referee also is an athlete. Hakem has to be nearest to the game, run as well as the players, have the mind open, and have to make the correct definition. The aim of this study is to explain the mental suitcase of the referees, which is a new definition in the referee literature and which includes the mental processes of the referees before, during, and after the competition.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.070
GPT teacher head0.443
Teacher spread0.372 · 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 designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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