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Record W2944368439

Training histories and sporting backgrounds of athletes with acquired disabilities: Does an athlete's experience prior to injury influence their sporting selection and performance in parasport?

2017· article· en· W2944368439 on OpenAlexaffabout
Nima Dehghansai, Srdjan Lemez, Nick Wattie, Joseph Baker

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsOntario Tech UniversityYork University
Fundersnot available
KeywordsAthletesMainstreamBasketballPsychologyEliteWheelchairPhysical therapyTeam sportApplied psychologyMedicinePolitical scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

There is some evidence that participating in a broad range of sporting activities can reduce the number of hours of sport-specific training required to reach elite level performance in sport (Baker, Côté, & Abernethy, 2003). However, research investigating the influence of mainstream sport experience on parasport athletes' development is scarce. Therefore, we examined the training and sporting histories of 36 wheelchair basketball players with acquired disabilities to better understand the relationship between sporting experiences in mainstream sport and eventual success in parasport (i.e., competing nationally or internationally). Athletes completed a modified version of the Developmental History of Athletes Questionnaire (Hopwood, 2013). Nineteen athletes participated in organized sports prior to disability acquisition, 13 of which were mainstream sport high-performance athletes (HPA; national=8, international=5). The most common sports reported were basketball (n=7), volleyball (n=7), and soccer (n=7). Further, 12 of the 13 HPA were competing in team sports at the elite level prior to disability acquisition. The 13 HPA continued their success in wheelchair basketball, competing at the national or international level. Compared to athletes competing provincially or lower, HPA did not invest significantly more hours to training at the initial stages of their wheelchair basketball career, however, they currently devote significantly more hours to deliberate training. Although additional research is needed, preliminary findings from this study suggest a relationship between athletes' previous training and sporting experiences in mainstream sport and athlete development in parasport, which may have implications for talent identification and development programs.Acknowledgments: Mike Frogley and Canadian Wheelchair Basketball Academy

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)0.000
metaresearch head score (Gemma)0.003
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 score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.054
GPT teacher head0.362
Teacher spread0.308 · 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

Citations1
Published2017
Admission routes2
Has abstractyes

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