Haudenosaunee Forest Stewardship
Bibliographic record
Abstract
Indigenous Communities throughout Canada and the United States pose unique challenges for resource management on reservations due to their ecological and political history with settler-colonial states and their biocultural context (i.e. context specificity). Context specificity emphasizes the diversity of Indigenous Communities and limitations of a one-size-fits-all strategy. The Kanienkehaka (Mohawk) Community of Akwesasne, an Indigenous Community straddling the US and Canadian border, was the site chosen for the development of biocultural land stewardship strategies for existing and new settled Land Claims handled by the St. Regis Mohawk Tribe (governing body in the southern portion of Akwesasne). This research utilizes a participatory action approach that is informed by Akwesasronon (Akwesasne Community Member) voices and context specificity. Interview analysis revealed the complex connectivity of Akwesasronon with forested landscapes through various values and sub-values. This research conveys the importance of paralleling land and cultural stewardship in strategies for successful implementation within Indigenous Communities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 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".