A Typology of National Park Co-management Agreements in the Era of Reconciliation in Canada
Bibliographic record
Abstract
Parks Canada, in response to commitments undertaken towards reconciliation, has signaled its readiness to reassess the participation of Indigenous peoples in the co-management of national parks, national park reserves, and national marine conservation areas (NMCAs). However, the effectiveness of co-management, as the established framework underpinning these and other longstanding partnerships between the state and Indigenous groups, has been disputed, based on an uneven track record in meeting the needs, interests, and aspirations of Indigenous communities. This paper explores the potential of co-management to facilitate reconciliation within national parks, reserves and NMCAs by developing a typology of various types of co-management agreements. Addressing a critical knowledge gap in co-management governance, we provide a comprehensive review of 23 negotiated co-management agreements involving the state and Indigenous groups in a national park context. The resulting typology categorizes these agreements according to contextual factors and governance arrangements, offering insights into the feasibility of shared governance approaches with Parks Canada. Moreover, it identifies the strengths and weaknesses of co-management agreements in fulfilling reconciliation commitments. Our findings indicate that, although Parks Canada has implemented innovative approaches to co-management and shown a willingness to support Indigenous-led conservation efforts, true shared governance with Indigenous groups, as defined by international standards, is limited by the Canadian government's evident reluctance to amend the foundational legislation to effectively share authority in national parks.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".