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Record W2131946344 · doi:10.1123/jsm.2013-0160

Managing Diversity to Provide Culturally Safe Sport Programming: A Case Study of the Canadian Red Cross’s Swim Program

2014· article· en· W2131946344 on OpenAlexaffabout
Kyle Rich, Audrey R. Giles

Bibliographic record

VenueJournal of Sport Management · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of OttawaWestern University
Fundersnot available
KeywordsInclusion (mineral)Diversity (politics)Thematic analysisEthnic groupCultural diversityDiversity trainingPublic relationsPsychologyOrganizational cultureAccommodationBest practiceBridge (graph theory)SociologyMedical educationApplied psychologySocial psychologyManagementQualitative researchPolitical scienceMedicineSocial science

Abstract

fetched live from OpenAlex

This article examines the piloting of a cultural safety training module in the Canadian Red Cross’s (CRC’s) Water Safety Instructor Development Program. Thematic analysis of interviews with program participants and facilitators revealed two main themes: Inclusion is important and valued by instructors, and accommodation for cultural and ethnic diversity is difficult to achieve in aquatics settings. Doherty and Chelladurai’s (1999) framework was used to understand the strengths and weaknesses of the pilot module. In conclusion, the authors propose that cultural safety training for the instructors alone will not lead to the provision of culturally safe sport; rather, there needs to be a change in the overall organizational culture in which the CRC’s programs are offered if they are to succeed. These findings make three contributions to the literature. First, the authors bridge the existing bodies of literature on critical Whiteness theory and sport management literature that addresses the management of diversity. Second, the authors explore the novel application of cultural safety training for instructors of a sport program. Finally, the authors offer recommendations to enable the development of an organizational culture that is facilitative and supportive with respect to inclusion (i.e., is welcoming) and accommodation (i.e., is flexible and adaptable) of cultural and ethnic diversity in aquatics programming.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score0.885

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.030
GPT teacher head0.323
Teacher spread0.292 · 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

Citations9
Published2014
Admission routes2
Has abstractyes

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