Good relations: an alternative paradigm for natural resource governance in Eeyou Istchee
Bibliographic record
Abstract
The parties to two modern agreements in Eeyou Istchee – the Crees of Eeyou Istchee and the Governments of Canada and Quebec – describe their treaty relationship in terms of a "new relationship" based on principles such as mutual recognition and reciprocity.Current perspectives on a new relationship in Eeyou Istchee are inadequate to understand the parties' complex normative interactions and political claims for recognition. An alternative paradigm is needed to conceptualize a new relationship, which emphasizes the political and legal processes that allow Aboriginal peoples and state actors to engage in reciprocal dialogue, and negotiate compromises to deep-seated normative disagreements. Formal and informal mechanisms for decentralized governance of natural resources – including community consultation processes, and institutions for co-management and community-based management – can provide forums for the parties to negotiate their political and normative interactions within an alternative paradigm.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.040 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".