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Record W2913336315

Atitudes morais de atletas juvenis no esporte de competição: um estudo com praticantes do Futebol de Campo

2018· article· pt· W2913336315 on OpenAlexaff
Ricardo Pedrozo Saldanha, Paulo Henrique Mellender Evangelista, José Augusto Ayres Florentino, Marcos Alencar Abaíde Balbinotti, Carlos Adelar Abaide Balbinotti

Bibliographic record

VenueAmericanae (AECID Library) · 2018
Typearticle
Languagept
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsCheatingAthletesPsychologySocial psychologyExploratory researchHumanitiesSociologyMedicineSocial scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Moral attitudes of youth athletes in competition sport: an exploratory-descriptive study with practitioners of footballMorality, according to the Theory of Moral Judgment (TJM) represents the behavior and the ways in which moral attitudes can determine social behavior. According to this theory, the "Gamesmanship” “Cheating” and “Commitment” are the attitudinal dimensions that evidence conflict in behaviors face to moral dilemmas. This research aims to explore and describe the average ratios obtained from the evaluation of four dimensions of attitudes: Commitment, Convention, Cheating and Gamensmanship. For this purpose, a sample of 46 youth athletes of football, male and aged 13-16 years answered the Attitudes Inventory for Moral Decision Making in Youth Sports (IATDMEJ-23). It was found that the dimensions "Gamesmanship” “Cheating” and “Commitment” (statistically indissolubles) are the dimensions that appear in first, followed by the dimension Convention in second. New studies are suggested in other sports controlling different variables.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

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 studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.014
GPT teacher head0.280
Teacher spread0.267 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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Same venueAmericanae (AECID Library)Same topicMotivation and Self-Concept in SportsFrench-language works237,207