A Critical Examination of Canada’s Obligations Under the Convention on the Elimination of all Forms of Discrimination against Women and the Government’s Actions and Omissions in Relation to the Investigation of the Hundreds of Missing Aboriginal Women
Bibliographic record
Abstract
Standing on Canada’s Parliament Hill, meters from the historic Centennial Flame, Canadians witnessed another year of commemoration, representing the many missing and murdered Aboriginal women across Canada. Stories of loss and hope, grief and frustration, filled with song and dance and spoken word, left many standing in a mesmerizing stare; they were moved by powerful words, but remained speechless. The event was one of the annual Sisters in Spirit Vigils to honor lost sisters, wives, daughters, and aunts, among friends, families, activists, and supporters, who have fought in their communities for so long. Families and leaders have lobbied governments for decades, facing the reality of the Canadian government’s inaction and omissions relating to the investigation of hundreds of missing and murdered Aboriginal women. Families and leaders are faced with the dissatisfactory inaction that has persisted too long at the cost of so many. And despite countless setbacks and hardships endured, Aboriginal voices and allies calling for action remain strong.
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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 | 0.017 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.086 | 0.035 |
| Scholarly communication | 0.018 | 0.004 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.012 | 0.025 |
| 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".