Learning from Manoomin: Restor(y)ing relationships between Anishinaabeg, settlers, and more-than-human beings in the Great Lakes Basin
Bibliographic record
Abstract
Positioned between multiple worlds, Manoomin - wild rice is described within the Mishomis Book by the leader and activist Edward Benton Benai, as one of the sacred gifts from the Earth to the Anishinaabeg of the Great Lakes Basin. Over the past few centuries however, this relationship has been impacted by settler colonial land practices such as logging, mining, the creation of waterways and removal of harvesting rights through official documents and land dispossessions. While these movements of settler colonialism from governments and individuals have fragmented the relationship between Manoomin and the Anishinaabeg, there has been a growing movement by Indigenous and non-Indigenous individuals and communities to restore wild rice in this region through reseeding, and wetland restoration efforts. \n \nWorking to directly challenge Western ways of knowing through the study of Indigenous methodologies and reconciliation research from authors such as Leanne Betasamosake Simpson, Shawn Wilson, Ruth Koleszar-Green, and Deborah McGregor, this thesis asks how the restoration of Manoomin might provide a framework to understand relationships between Indigenous peoples, settlers, and more-than-human beings. Three initiatives restoring Manoomin in the Great Lakes Basin are explored with drawings, reflections, and conversation, which in turn document the evolution of the land through the “restorying” of relationships, following principles such as Vanessa Watt’s “Place-Thought” and Willie Ermine’s “Ethical Space”. \n \nWithin each of the three initiatives, Manoomin offers a range of lessons; beginning with sovereignty, harvesting rights, and contrasting perceptions of land within the restoration of wild rice in Pigeon Lake, ‘Ontario’. The dynamics of co-management are revealed through the restoration of the so-called St. Louis River in ‘Duluth, Minnesota’, one of the most polluted watersheds in the region and the sixth stop along the Anishinaabeg migration from the East coast of Turtle Island. Finally, the importance of establishing respectful relationships is emphasized in conversations with individuals in ‘Michigan’, who are involved in the seeding of Manoomin on the University of Michigan properties and a decades old effort to restore wild rice on Lake Lac Vieux Desert. \n \nThrough personal reflections on these relationships created through Manoomin, this thesis humbly considers how the process of reconciliation and the restoration of land might meaningfully support efforts towards Indigenous sovereignty and self determination.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.015 | 0.020 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".