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Record W4386898227 · doi:10.4025/jphyseduc.v34i1.3425

Translation, adaptation, and evidence of content validity and internal structure of the brazilian version of the Contest Orientation Scale

2023· article· en· W4386898227 on OpenAlexaff
Gabriel Henrique Treter Gonçalves, Roberto Tierling Klering, Hannah Aires, Marcos Alencar Abaíde Balbinotti, Carlos Adelar Abaide Balbinotti

Bibliographic record

VenueJournal of Physical Education · 2023
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsCONTESTScale (ratio)PsychologyContent validityBrazilian PortugueseConfirmatory factor analysisContext (archaeology)Internal validityCLARITYExternal validitySocial psychologyStatisticsLinguisticsPortugueseStructural equation modelingPsychometricsMathematicsCartographyDevelopmental psychologyPolitical science

Abstract

fetched live from OpenAlex

This study aimed to translate, adapt, and present the first evidence of content validity and internal structure of the Brazilian version of the Contest Orientation Scale. To this end, three studies were conducted. The first study was the translation of the items of the scale and adaptation to the Brazilian sports context, considering cultural and theoretical aspects by four judges, fluent in both languages (English and Portuguese). The second study was the content validation of the translated version. To this end, three judges evaluated Language Clarity (CVCtLC = 0.90), Theoretical Relevance (CVCtTR = 0.91), and Theoretical Dimensionality (KTotal = 0.71). The results ranged from good to satisfactory. The third study applied the scale to 188 athletes of both sexes, with a mean age of 30.6 years. A semi-confirmatory factor analysis was performed, which presented a clean factorial solution, with adjustment ranging from reasonable to satisfactory and satisfactory reliability indices (α = 0.744). In conclusion, the Brazilian version of the scale presents indices favorable to its application to evaluate the orientations to the dispute in the sport.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.301
Threshold uncertainty score0.135

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.077
GPT teacher head0.349
Teacher spread0.272 · 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.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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