Protected and Conserved Areas in Canada: Advancing Conservation Policy, Practice & Indigenous Leadership
Bibliographic record
Abstract
"Protected and Conserved Areas in Canada: Advancing Conservation Policy, Practice, and Indigenous Leadership, is Canada’s first bilingual, interdisciplinary, open-access textbook dedicated to the evolving management and planning of protected and conserved areas. This resource addresses critical pressures and transitions in conservation, integrating Indigenous perspectives and case studies from across Canada to prepare the next generation of practitioners and researchers to become ethical, equitable, and effective decision-makers. Over the past decade, Canada has experienced rapid expansion of protected and conserved areas, including the rise of Indigenous Protected and Conserved Areas (IPCAs), the expansion of marine protected and conserved areas, and the designation of other effective area-based conservation measures (OECMs). These developments occur amid climate change, biodiversity loss, and shifting human-nature relationships, underscoring the urgent need for up-to-date, inclusive educational resources. The textbook’s open-access, bilingual format removes financial barriers and ensures broad accessibility to all Canadians. Its “knower-doer-learner” authorship model and commitment to Ethical Space foster collaboration between academics, practitioners, and Indigenous knowledge holders, modeling respectful engagement and Two-eyed Seeing. Designed purposefully as a living resource, it features dynamic case studies and multimedia elements, supporting diverse courses in geography, conservation, biology, tourism, planning, and beyond."
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".