Towards an Indigenous-Informed Relational Approach to Free, Prior, and Informed Consent (FPIC)
Bibliographic record
Abstract
International and domestic rights frameworks are setting the stage for the full recognition of Indigenous Peoples’ rights in Canada. However, current political promises to restore Indigenous relations, to reconcile historic wrongs, and to foster mutual prosperity and well-being for all people within Canada remain woefully unfulfilled. Indigenous Peoples continue to call for full engagement with emerging Indigenous rights frameworks such as the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP) and its principles of free, prior, and informed consent (FPIC). This article discusses the key findings from a multi-year university–community research partnership with Matawa First Nations in which we collaboratively seek to advance understanding of consultation processes and Indigenous experiences of and perspectives on FPIC. The article, based on several years of dialogue and interviews and a two-day workshop on FPIC, offers insight into Indigenous perspectives on FPIC advancing an Indigenous-informed relational approach to consultation and consent seeking.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".