The <scp>C</scp>anadian Arctic Marine Ecological Footprint and Free Prior Informed Consent: Making the Case for Indigenous Public Participation through Inclusive Education
Bibliographic record
Abstract
Public participation of the Inuit concerning climate change adaptation in the Canadian Arctic is essential, given the extensive knowledge they possess about their traditional territories, especially as it relates to resources management. Unfortunately, much of this knowledge is not incorporated into the tertiary educational system and hence not part of the knowledge set of the people most likely to engage in public policy discussions and decisions. This article adopts a transdisciplinary approach, using an analysis of historic fish and marine mammal catch with the marine ecological footprint calculated for the year 2000. This scientific data, supported by the principle of free and prior informed consent as defined in United Nations Declaration on the Rights of Indigenous Peoples as well as the Tsilhqot'in case in Canada, demonstrates the need for inclusive education. We conclude that indigenous participation in climate change adaptation policies would benefit immensely from the offering of university programmes that incorporate, in a meaningful way, Inuit traditional knowledge and indigenous rights.
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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 | 0.048 | 0.072 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.030 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".