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Record W2170082612 · doi:10.5539/ijps.v6n1p33

Elite Disability Sport Coaches’ Views on Sport Psychology

2014· article· en· W2170082612 on OpenAlexvenueno aff
Tânia Bastos, Rui Corredeira, Michel Probst, António Manuel Fonseca

Bibliographic record

VenueInternational Journal of Psychological Studies · 2014
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsnot available
FundersFundação para a Ciência e a Tecnologia
KeywordsRowingSport psychologyPortuguesePsychologyAthletesApplied psychologyContext (archaeology)ElitePerceptionSocial psychologyPhysical therapy

Abstract

fetched live from OpenAlex

Although the coach is a key element in the psychological preparation of the athletes, few is known about whatcoaches from disability sport context think about the importance of psychological preparation. Therefore, thisstudy aimed to explore: 1) the educational background of disability sport coaches, 2) the perceptions of thecoaches on the importance of psychological preparation for their athletes, and 3) the opinions of the coachesregarding the role of sport psychologists. Semi-structured interviews were conducted with Portuguese elitedisability sport coaches (n=10; male=8 and female=2; swimming =4, track and field=2, boccia=3 and rowing=1)included in the Paralympic Project London 2012. Standard qualitative methodology and content analysis wereused to analyse the data. The participants revealed an educational background in sport sciences and in sportpsychology. A high status of sport psychology and psychological preparation also emerged from the data. Fullreceptiveness to work with sport psychologists was exhibited, although some participants mentioned barriers tosport psychologists’ intervention (e.g., coach awareness, athlete receptiveness, time, finances). In general, thefindings of this study highlighted the importance of sport psychology in Portuguese disability 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.163
GPT teacher head0.497
Teacher spread0.334 · 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; both teacher heads agree on what is shown here.

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

Citations17
Published2014
Admission routes1
Has abstractyes

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