The Transformative Potential of Indigenous-Driven Approaches to Implementing Free, Prior and Informed Consent: Lessons from Two Canadian Cases
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
While it is increasingly recognised as a core element of the emerging international Indigenous rights regime, the implementation of the principle of free, prior and informed consent ( fpic ) remains contested. As the comparative literature shows, if and how fpic is implemented depend both on the institutional context and on the agency of actors involved. Faced with deep power asymmetries and strong institutional resistance to their understanding of fpic as a decision-making right, a number of Indigenous groups in Canada have taken advantage of the uncertain legal context to unilaterally operationalise fpic through the development of their own decision-making mechanisms. Building on two case studies, a mining policy adopted by the Cree Nation of James Bay and a community-driven impact assessment process established by the Squamish Nation, this article argues Indigenous-driven mechanisms can be powerful instruments to shape how fpic is defined and translated in practice.
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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 | 0.000 | 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 it