"The Mountains are Healing": Engaging with Splatsin Knowledges of Wellbeing, Dispossession and Land-based Healing
Bibliographic record
Abstract
Guided by decolonizing methodologies, Indigenous Knowledge systems and environmental dispossession and (re)possession theories, this thesis explores Splatsin perspectives on the connection between land and wellbeing in the context of historical and on-going alienation from traditional lands and cultural practices. A community-based participatory research approach framed this project conducted in collaboration with ten members of the Splatsin community who are part of the Secwépemc (Shuswap) Nation of southern interior British Columbia, Canada. Informed by participant observation, field trips, and semi-structured interviews, this project centers the voices and experiences of Splatsin Elders and community Knowledge Keepers as a way to decolonize what can be known about wellbeing. The greater goal of this project was to explore the possible benefits of restoring Indigenous land-based and cultural practices for community wellbeing.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.019 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".