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Record W4414561569 · doi:10.1080/23750472.2025.2561975

Managers’ perceptions, attitudes, and roles in fostering inclusion and addressing exclusion in competitive sport for youth from low socioeconomic backgrounds

2025· article· en· W4414561569 on OpenAlexaffabout
Alexandro Allison-Abaunza, Andrea Woodburn

Bibliographic record

VenueManaging Sport and Leisure · 2025
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsInclusion (mineral)Socioeconomic statusCompetitive sportPerspective (graphical)Social exclusionCompetition (biology)

Abstract

fetched live from OpenAlex

Purpose/Rationale To explore the roles and decision-making processes of competitive sport program managers related to the inclusion and exclusion of youth from low socioeconomic backgrounds.Methods This qualitative research employed purposeful sampling to interview 11 Sport-études program managers from 11 different sports. The study, conducted through semi-structured interviews, delves into the perspectives of these managers, emphasizing the exploration of perceptions, attitudes, and roles regarding social inclusion within the context of amateur sport, with a focus on Bourdieu's concepts of habitus, capital, and fields.Findings Program managers’ dispositions toward accessibility issues in competitive sports programs highlight their substantial decision-making powers, which are tempered by external factors such as government regulations and sports federations. The findings underscore how institutional coherence inadvertently contributes to higher participation fees, reinforcing the status quo, and reveal well-intentioned cost-reduction strategies that may perpetuate exclusion.Practical Implications In Canada, where both federal and provincial governments determine sports policies, the interaction between these levels creates a complex environment with conflicting priorities, such as sport performance versus accessibility. Provinces have significant influence over local policies. Understanding how funding and program recognition impact resource allocation is crucial for managers navigating these complex challenges and promoting effective policy outcomes.

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 score0.020
Threshold uncertainty score0.834

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 head0.024
GPT teacher head0.305
Teacher spread0.281 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

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