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Record W2989683450 · doi:10.5430/wje.v9n6p1

A Comparison of Perceived Social Anxiety among Individual and Team Sports Participant High School Students

2019· article· en· W2989683450 on OpenAlexvenueno aff
Ümit Doğan Üstün, Adem Yapıcı

Bibliographic record

VenueWorld Journal of Education · 2019
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsnot available
Fundersnot available
KeywordsTurkishPsychologyAnxietyTest (biology)Statistical analysisPhysical educationSocial psychologyApplied psychologyClinical psychologyMathematics education

Abstract

fetched live from OpenAlex

This paper aimed to investigate individual or team sports participant high school students’ perceived social anxietylevels according to their sports branch, the weekly duration/day of doing sports, the aim for doing sports and gender.Two hundred high school students (Mage=16.29 ± 1.11) participated in the study. The study designed as across-sectional study and the Turkish version of Social Anxiety for Adolescents (SAS-A) used as the data gatheringtool. In the evaluation of data independent samples t-test and one-way ANOVA statistical methods used as thehypothesis tests. According to the study findings, there was not any significant difference in the variable socialanxiety according to the sports branch and the weekly duration/day of doing sports. However, significant differenceswere found between individual sports participants’ social anxiety according to aim for doing sports and gender. As aresult, this paper showed that professional individual sports participants had higher perceived social avoidance anddistress for general and new situations. Also, male individual sports participants reported a higher fear of negativeevaluation than females.

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 score0.004
Threshold uncertainty score0.271

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 head0.037
GPT teacher head0.373
Teacher spread0.335 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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