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Record W6982471656

Indigenous youth in sport and recreation on the Canadian prairies: mentor perspectives beyond the game

2024· dissertation· en· W6982471656 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2024
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOppressionIndigenousFocus groupThematic analysisQualitative researchStorytellingPerspective (graphical)
DOInot available

Abstract

fetched live from OpenAlex

Western research methods and ideologies have been shown to be incompatible with Indigenous culture, imposing righteous perspectives of what needs fixing and how to fix it. Indigenous youth have been subjects of research centralized around physical activity, sport and recreation, revealing common participation barriers. Previous research shows dominant social practices in sport/physical activity, including barriers to involvement/engagement, the notion of development, and various impacts of overcoming stereotypes. However, scholars often avoid linking these contextual factors to the root causes of oppression contributing to participation and engagement. In the literature review, I outline ways in which information regarding Indigenous populations has, historically, been gathered, analyzed, and applied through a Western framework, highlighting the absence of subjectivity impartiality’s role in perpetuating the oppression of minority populations within research/academic and governmental institutions (Wilson, 2008; Young, 1990). Through storytelling and personal experience, this study uncovers successes and trials experienced by individuals involved in coaching/mentorship roles for First Nations youth within the Canadian prairie provinces. Four participants gathered virtually for a focus group surrounding experiences of inclusion, exclusion, and leadership, followed up with one-to-one interviews. Personal journaling includes documentation of the researcher's perspective and progression throughout the project. Critical Thematic Analysis is a way of examining data within the data by identifying statements or ideas that are repetitive and forceful (Lawless & Chen, 2019), and comparing them to larger themes or theories. Primary analysis focuses on Young's (1990) five faces of oppression: exploitation, marginalization, powerlessness, cultural imperialism, and violence. The focus group and interviews were examined for repetitive and forceful statements, with the lens of the five faces as pre-determined themes/theories of investigation. Stories from participants affirmed barriers (i.e., transportation) as hindrances to participation. Moreover, discriminatory coaching and exclusionary leadership tactics impacted how mentors coach youth athletes, who expressed heightened compassion when working with Indigenous youth. Storytelling showed a strong sense of resilience and determination alongside a passion for improving communities. Journal entries (from the researcher) presented a day-to-day view of the project as a neurodivergent woman, articulating frustrations with self and within institutions (i.e., the academy), as well as reflections of confusion, and happiness/optimism.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0330.013
Scholarly communication0.0080.003
Open science0.0030.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.185
Teacher spread0.161 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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