<i>Wáts'iyus</i> Harvest Basket Model: turning to ancestral plant knowledge to develop Indigenized strategies towards decolonial ethnobotanical research in <i>Sḵwxwú7mesh</i> (Squamish) BC
Bibliographic record
Abstract
This paper focuses on the Skwxwú7mesh (Squamish) Nation, the home community of the lead author, and the lessons learned from conducting collaborative and community-led participatory research with the community. Following the lead author's doctoral research project, the Yetwánaý Project, we introduce a framework for integrating culturally grounded botanical approaches into the development of Indigenized strategies for decolonial ethnobotanical research with Indigenous community partners. The Wáts'iyus Harvest Basket Model presented here centers Indigenous voices, perspectives, and worldviews. This model adopts a botanical metaphorical approach, informing how ethnobotanical research can support Indigenous communities in reconnecting to culturally grounded, land- and plant-based health and wellness practices.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".