Beyond Institutional Ethics: Anishinaabe Worldviews and the Development of a Culturally Sensitive Field Protocol for Aquatic Plant Research
Bibliographic record
Abstract
Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans (TCPS2) guides knowledge production and dissemination in Canada. While it is intended to protect vulnerable populations from harm, it fails to consider Anishinaabe worldviews and, by extension, to effectively direct ethical water research with aquatic plant life. Using Anishinaabe oral testimony and oral stories, Niisaachewan Anishinaabe Nation (NAN) and the University of Guelph (UofG) co-developed a culturally sensitive field protocol to respect Manomin (Wild Rice) as an other-than-human being and guide research into Manomin restoration. By illuminating key directives from NAN, this article showcases the limitations of institutional ethics in Canada. It concludes with recommendations to broaden TCPS2 to better address Anishinaabe teachings about plant and animal relations, but ultimately challenges institutional Research Ethics Boards (REBs) to relinquish control and respect Indigenous Nations’ right to govern research within their territories.
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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 | 0.350 | 0.337 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.020 | 0.032 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.006 | 0.010 |
| Research integrity | 0.011 | 0.024 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".