“No one cares more about your community than you”: Approaches to Healing With Secwépemc Children and Youth
Bibliographic record
Abstract
This paper shares stories from multigenerational Secwépemc and Indigenous healers (including social work and counselling practitioners) with Secwépemc kinship ties. Each Secwépemc and Indigenous healer works with Secwépemc and Indigenous children and youth in Secwépemcúlucw, the land of the Secwépemc Nation. The work is a form of “ancestor accountability” (Gumbs, 2016), as it is one that is embedded in our kinship relationships and our learning on the land together with our children, family, and Elders. Through the methodological framework of Steseptekwle – Secwépemc storytelling – together with Red Intersectionality, these stories are examples of new tellings, or re-storying, of the Snine (Owl) story that not only illuminate the ongoing resistance to colonial power, but also of the resurgence and reinstatement of Secwépemc ways of addressing wellness and healing.
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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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".