Invitations from the land and waters: Lessons from the Peace of Fort Garry
Bibliographic record
Abstract
This paper offers critical perspectives on engaging Indigenous Peoples land-based practices in the city. Using Winnipeg as its case study, this research identifies Winnipeg and the Red River area as a major pre-settler Indigenous population centre. Through an examination of the making of a peace treaty between the Great Sioux Nation, the Métis, and the Saulteaux at Fort Garry as a moment for exploring the land and waters as sentient entities inviting Indigenous Peoples to gather and engage in political activities. This work provides insights into the way the land and waters convey invitations to other beings, and explores what political values and activities those invitations have the power to encourage. What follows contributes to the ongoing scholarship of reclaiming urban geographies as Indigenous spaces, and challenging the reserve-rural-remote world as an Indigenous space, and the urban as a non-Indigenous space. By thinking about Indigenous politics in the city through the framework of what the land and waters invite, readers will be opened to the potential to transform contemporary inter-Indigenous political and cultural activity in places like Winnipeg.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.050 | 0.043 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".