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Record W2938591232 · doi:10.1080/24704067.2019.1604078

Towards a System Theoretical Understanding of the Parasport Context

2019· article· en· W2938591232 on OpenAlexaff
Jacqueline Martins Patatas, Veerle De Bosscher, Sebastiaan De Cocq, Shaundré Jacobs, David Legg

Bibliographic record

VenueJournal of Global Sport Management · 2019
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsMount Royal University
FundersCrown Property BureauConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsContext (archaeology)EpistemologyComputer scienceEngineering ethicsSociologyManagement scienceEngineeringHistoryPhilosophyArchaeology

Abstract

fetched live from OpenAlex

Contextual factors are fundamental but often overlooked elements of parasport that can introduce various complexities within the parasport system. The purpose of this paper is to identify and categorize contextual factors that influence the parasport system and to examine the extent to which these factors influence the development of para-athletes’ pathways. Drawing from a system theoretical perspective, this research uses data gathered from 32 semi-structured interviews with stakeholders of the Brazilian Paralympic sports system. Thematic coding resulted in the identification of nine main themes that constitute the contextual factors of the Brazilian parasport system. The findings confirm that insofar as parasport is embedded in the complex cultural and national environment, it is not possible to understand parasport and the para-athlete trajectories without understanding the country’s particular context with respect to disability. This paper thus provides insights toward better understanding the relationship between the diversity within the parasport systems and the socio-cultural context of a country.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score0.752

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.058
GPT teacher head0.413
Teacher spread0.355 · 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

Citations17
Published2019
Admission routes1
Has abstractyes

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