The Healing Power of Storytelling: Finding Identity Through Narrative
Bibliographic record
Abstract
This paper describes the power of storytelling in the context of an Indigenous youth collective, whichgathers each week to share their lived experiences and learn song, dance, and lessons through story. Ibegin with my own life narrative followed by an exploration of how the intergenerational transmissionof historical trauma has left many Indigenous youth searching for a connection to their culture. I thendiscuss research that reveals the importance of cultural continuity, self-determination, and engagementin the community to the healing journey of Indigenous youth. Next, I consider oral storytelling as onemethod of knowledge delivery, utilized by Indigenous Nations for thousands of years, that seamlesslyblends cultural learning and thus connection to identity. I detail the creation of a Youth StorytellingCircle which centres teachings from the Stó:lō, Haida, Nisga’a, Salish, and Popkum Coast Salish Nationssurrounding the shores and rainforests of what is now British Columbia. I conclude with reasons whyengaging youth in their wellbeing through traditional practices is of high importance to us all as Indigenouscommunity members.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".