The MMIWG2 Database: Addressing Canada's Missing and Murdered Indigenous Women, Girls, & Two-Spirit People Crisis
Bibliographic record
Abstract
North America has a history of systemic oppression against Indigenous people that has contributed to a tragic epidemic of Missing and Murdered Indigenous Women, Girls, and Two Spirit people. While Canada has recently begun to keep track of reported cases, there is a sufficient lack in research and attention to this crisis. Indigenous people suffer disproportionately high rates of violence and mistreatment, and official estimates cannot show the full scope of this problem. Data being inaccurate leaves cases undetected and unacknowledged. To address this problem, the MMIWG2 research actively collects and compiles all known information about Indigenous cases into a comprehensive database. This process clears up data discrepancies to improve government responses and prevent future violence for MMIWG2 individuals and their families. This research is ongoing and the MMIWG2 database needs continuous collaboration. These efforts will provide a more complete picture of this issue and support bringing justice and closure to affected communities.
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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 | 0.004 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.015 | 0.022 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".