Indigenous protected and conserved areas (IPCAs): Canada's new path forward for biological and cultural conservation and Indigenous well-being
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Wilderness and national parks play a fundamental role in defining Canadian identity, yet Indigenous Peoples have historically been excluded from conservation decisions, resulting in systematic dispossession and oppression. In this article, we collaborate with Dene Tha'First Nation to discuss the recent paradigm shift towards Indigenous-led conservation and propose guiding principles to advance and assert the critical role of Indigenous Peoples in conservation. We begin with a brief history of Indigenous Peoples in conservation, followed by the concept of Indigenous protected and conserved areas (IPCAs). Our analyses show that IPCAs have gained momentum recently, driven by the Truth and Reconciliation Commission and Canada's commitment to global conservation goals. With one of the largest landmasses and Indigenous populations in the world, IPCAs in Canada have the potential to make immense contributions to environmental and cultural conservation rooted in an intrinsic relationship to the land. Despite this biocultural diversity, as of 2022, less than 1% of Canada's landmass is declared as Indigenous-led protected areas. However, more than 50 Indigenous communities across the country have currently received funding to establish IPCAs or to undertake early planning and engagement that could position Canada as a global leader in Indigenous-led conservation. As the Government of Canada aims to designate 25% of the territory as protected space by 2025 and 30% by 2030, embedding Indigenous rights, knowledge, and values in the national conservation strategy will be essential to simultaneously honoring the commitments to reconciliation and meeting the ambitious targets stipulated in the Kunming–Montreal Global Biodiversity Framework.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.004 | 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 it