“How far do you have to walk to find peace again?”: A case study of First Nations' operational values for a community forest in<scp>N</scp>ortheast<scp>B</scp>ritish<scp>C</scp>olumbia,<scp>C</scp>anada
Bibliographic record
Abstract
Abstract In this paper we report upon research conducted with two First Nations located inBritishColumbia,Canada (Saulteau First Nations and West Moberly First Nations) on their preferences regarding forest operations within their community forest license. We confirmed the forestry‐related values previously documented in other research, and we are able to determine specific parameters with regard to the protection or integration of these values, particularly those that are ecologically based. In addition, we identify significant cultural values expected in forestry planning and management, their parameters, as well as values not commonly discussed within the literature, such as concerns over non‐indigenous access and conflicting, overlapping resource tenures. We conclude that further research, which accounts for and readily accommodates indigenous values and preferences, is needed to examine North American indigenous participation in both community forest tenures and in developing forest operation planning.
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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 | 0.004 | 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 | 0.022 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| 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".