Aboriginal principles of harvest and management and their relationships with spirits: An Ojibway community as a case study
Bibliographic record
Abstract
Relationships between Aboriginal and Western scientific communities are frequently characterized by ongoing struggles between resource management models. However, both Aboriginal and Western systems of resource management employ principles that could provide a means for discussion and cross-cultural exchange on matters related to harvesting, stewardship, and conservation. This thesis is an exploration of the harvest and management principles that exist within the Chippewas of Nawash Unceded First Nation; an Ojibway community located in South central Ontario, as well as an examination ofthe relationships between spirits and principles. Following methods developed in conjunction with the partner community, ten traditional Knowledge Holders were identified and interviewed. Qualitative analysis was used to identify five major harvest and management principles: SEASONS, NEEDS, THANKS, WASTING and SHARING. The only strong association reported in this study linked THANKS and ' Kitche Manitou' (Creator). Historical and cultural factors have likely had an important effect on the role of spirits in traditional Ojibway communities generally, and in their traditional harvest and management practices specifically.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".