Developing Successful Native/Non-Native Joint Management Systems: Four Case Studies of Interim Measures Agreements for Renewable Resources in British Columbia (Canada)
Bibliographic record
Abstract
"The prevailing approach to resolving land claims negotiations in British Columbia (Canada), as exemplified by the recently signed Nisga'a Agreement in Principle, relies on a combination of land settlement and cash compensation. This paper explores alternative approaches involving joint management (or 'interim measures') agreements for renewable resources. Such agreements can establish reciprocal obligations for improved management of renewable resources amongst a range of stakeholders without alienating constitutional rights and pending the resolution of treaty issues. Several recent examples of joint management agreements for forestry, fisheries and land management in British Columbia are reviewed in the context of common property management regimes. These examples demonstrate the importance of broad, enabling regulatory and legislative frameworks within which agreements can be negotiated and refined in practice, rather than through formal negotiations. Prescriptions are offered relating to the potential of joint management agreements to address the highly politicized and diverse interests of all parties and provide durable and flexible resolution of outstanding aboriginal claims."
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.031 | 0.007 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| 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".