Experiences of running: One Dakelh woman's message of transformation and resilience
Bibliographic record
Abstract
Running was a traditional role to share messages among the Dakelh communities of northern British Columbia. This role has been lost due to colonialism. The injustices of colonialism have resulted in challenges for Indigenous peoples’ health and well-being. Despite colonialism, the benefits of running for the mind, body, and spirit remain. However, the role that running played in the spiritual health of Indigenous people has remained unexplored. This research is an autoethnographic study about myself and the role of running in my life. I am situating myself within my Dakelh cultural context. I use decolonizing and Indigenous methodologies as a foundation for my research, drawing on my own experiences to express my testimony about transformation. My data includes my personal reflective journals and an interview. I analyzed these two sets of data by situating my experiences within the context of my culture. The themes identified include: 1) Space for self-reflection and responding to the world around me, (2) Relationships and encouragement, (3) My connection to something greater, (4) Honour my life enough to love myself, and (5) Creating space to fully express myself. This research fills a gap in Indigenous specific literature because spiritual health is not widely discussed in the physical activity literature and the running literature connected to Indigenous people. This thesis concludes that running has proven beneficial to me through the mental, emotional, physical, and spiritual areas of my health and well-being. Given the role that running has played in my transformation journey, I recommend more research that explores the role of running or other sports as processes for transformation of Indigenous people to explore the understandings of spirit as it relates to holistic health among Indigenous people living in Northern British Columbia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.012 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".