Recognizing Innu Sacred Natural Sites as Aboriginal-led Protected Areas by UAPASHKUSS: Innu Sacred Sites Guardians
Bibliographic record
Abstract
Indigenous Peoples and communities have had long-standing relationships with nature, based on knowledge systems and practices that acknowledge and respect the spiritual environment in which they live (Verschuuren et al., 2012). They have assigned special significance to specific natural areas like mountains, rivers, lakes and forests in accordance with their spiritual beliefs (Wild & McLeod, 2008, p.7; Liljeblad & Verschuuren, 2019). The “areas of land or water having profound spiritual importance to peoples and societies” are defined as sacred natural sites by the IUCN (Wild & McLeod, 2008, p.7). Sacred natural sites, and the rights and responsibilities of Indigenous Peoples towards these places, are recognized both internationally (e.g., Art. 11(1) and Art. 12(1) of the Declaration on Rights of Indigenous Peoples (UNDRIP, 2007); The Akwé:Kon Guidelines (CBD 2004)) and within Canada’s legal framework.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".