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Record W2897627378 · doi:10.5430/wje.v8n5p123

The Analysis of University Students’ Views on Mentally Challenged People’s Participation to Sports Events

2018· article· en· W2897627378 on OpenAlexvenueno aff
Nurgül Tezcan Kardaş, Reşat SADIK

Bibliographic record

VenueWorld Journal of Education · 2018
Typearticle
Languageen
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyScale (ratio)Vocational educationSignificant differenceSocial psychologyApplied psychologyMedical educationPedagogy

Abstract

fetched live from OpenAlex

The aim of this study is to investigate university students’ attitudes towards mentally challenged individuals’participation to sports activities. To collect the data, ‘Attitude towards sports activities scale of individuals havingmental disabilities’ is used. Reliability of the scale, which has been developed by (İlhan et al., 2013) and consists of 28items, is 0.96. The options, respectively, follow as: I completely agree, I agree, I’m neutral, I disagree and I completelydisagree. The study group consists of 420 students who study at Bülent Ecevit University in 2016-2017 Spring Term,and is selected randomly. The result shows that there is no statistically significant difference in the attitude ratings ofmentally challenged individuals’ participation to sports activities related to age, sex, types of education, or if there isany disabled individual living in participants’ social environments. But, type of school is a significant variant. Theratings of attitude of the participants who selected the option, ‘other’ in their school type part in the tool are higher thanof the one ones who selected the options, ‘faculty’ or ‘vocational school’.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.098
GPT teacher head0.520
Teacher spread0.422 · 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.

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
Published2018
Admission routes1
Has abstractyes

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