Restoring manomin (wild rice): a case study with Wabaseemoong Independent Nations, Ontario
Bibliographic record
Abstract
This thesis focuses on manomin (wild rice) ecocultural restoration by Wabaseemoong Independent Nations (WIN) in Northwestern Ontario. Ecocultural restoration includes the recovery of habitats and re-establishment of relationships between WIN and manomin. The objectives are to: 1) Describe the past and present state of rice-related practices in WIN and changes of the 20th century 2) Select and document a restoration site(s) 3) Identify the possibilities for the involvement of school students in the restoration process 4) Design a prototype for a wild rice camp that contributes to relationship re-establishment. The main pillars of the WIN restoration process - traditional ecological knowledge (TEK), site selection, involvement of children and young people, and transformative learning experienced by adult participants of a wild rice camp – are the main study components. The project is guided by a design-based methodology with data gathered through interviews, design workshops, participant observation, and biophysical methods.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.023 | 0.006 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| 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".