Searching for Justice: Indigenous Self-Determination over the Landfill Search as a Matter of Justice for MMIWG2S
Bibliographic record
Abstract
“Search the Landfill” is an Indigenous-led movement for justice for missing and murdered Indigenous women, girls, and Two-Spirit people (MMIWG2S) which originated through Indigenous resistance to police racism in Winnipeg, Canada. The movement calls upon all levels of government to support and execute the search of the Prairie Green Landfill, just north of the City of Winnipeg, to recover the bodies of at least two of four First Nations women who were murdered in early 2022 at the hands of a white male serial killer. Through an analysis of the news articles, press releases, and reports, this paper explores the way in which Indigenous leaders resisted and rewrote the discourses that surrounded the search. By at once condemning the Winnipeg Police Service’s refusal to search the landfill and rejecting police authority and control over the decision-making process, Indigenous women who became the leaders of this movement crafted the space to articulate for themselves how and why the search must be done as a matter of Indigenous rights. This paper explores how Indigenous leadership offers glimpses of what a decolonizing approach to justice may look like in cases of MMIWG2S and which, in turn, invites further opportunities to problematize, subvert, and move beyond the Western legal norms and traditions.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.036 | 0.050 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| 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".