MétaCan
Menu
Back to cohort
Record W4313829438 · doi:10.1123/iscj.2022-0061

Considerations for Designing Indigenous Coach Education

2023· article· en· W4313829438 on OpenAlexaffabout
Joseph Gurgis, Bettina Callary, Levi Denny

Bibliographic record

VenueInternational Sport Coaching Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsCape Breton University
Fundersnot available
KeywordsIndigenousCoachingParticipatory action researchStorytellingFocus groupAction researchPrideSociologyCultural safetyPedagogyMedical educationPsychologyPolitical scienceNarrativeMedicineAnthropology

Abstract

fetched live from OpenAlex

This study used a participatory action research approach to explore the criteria for collaboratively designing culturally relevant Indigenous coach education with Indigenous sport stakeholders from Nova Scotia, Canada. Fourteen Mi’kmaw sport stakeholders, including six coaches (three men and three women), seven administrators (five men and two women), and one Elder (man), participated in the study through methods including online semistructured interviews, unstructured interviews, and focus group discussions to explore their perspectives of how to develop culturally relevant Indigenous coach education. The findings suggest the purpose of designing culturally relevant Indigenous coach education is to enhance cultural pride and support Indigenous coach development. Participants believed these objectives could be fulfilled by addressing topics such as Mi’kmaq culture and history, as well as colonialism. The preferred methods of delivering content included facilitating experiences, storytelling, and mentoring. The findings are interpreted relative to the Calls to Action advanced by the Truth and Reconciliation Commission of Canada, as well as the existing literature on Indigenous coaching and learning. Finally, the Mi’kmaq framework of two-eyed seeing is used to advocate for the bridging of Indigenous and Western perspectives, as a means of decolonizing coach education.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.056
GPT teacher head0.371
Teacher spread0.314 · 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.

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
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueInternational Sport Coaching JournalSame topicYouth Development and Social SupportFrench-language works237,207