Bibliographic record
Abstract
helen knot t, this volume i n t h e w i n t e r o f 2 0 1 2 , Michif artist Christi Belcourt was driving to Ottawa from her home near Sudbury, Ontario, and she kept thinking about something that had lodged in her spirit.It was the poster of a young missing Indigenous woman she had seen on Facebook.A girl who had been missing for years.A poster circulated by the family.Like all Indigenous women in Canada, Christi was well familiar with the issue.For many of us-as described by Helen Knott aboveevery photo, every story of a missing and murdered Indigenous woman is deeply internalized.We can experience gnawing feelings of fear, trauma, or threat to our own safety and that of our sisters, daughters, nieces, mothers, aunties, and grandmothers.But what followed Christi as she drove along that evening were thoughts about the family.Being a mother herself, she became overwhelmed with a sense of compassion for the girl's mother.What unspeakable community beading groups formed across the Americas and beyond, creating community, kinship, and dialogue in the process.This collaborative work has since been replicated in the touring of wwos, as each community visit of two to three weeks has become a ceremony that requires extensive and widespread preparation and commitment.As such, it has been a tremendous Waaseyaa'sin Christine Sy raises provocative questions about how patriarchy, male dominance, and violence are perpetuated in our communities through the stories we tell.She asks how misogynist renderings of "traditional" stories contribute to normalizing violence against Indigenous women, using the example of the Anishinaabeg story of Wenonah.In her chapter at the end of underpin her suggestion for a "three-prong approach" that includes healing for perpetrators, healing for women, and addressing mainstream stereotyping that fuels the violence.The final chapter brings us full circle to the origins of the book, as it documents the activism of Walking With Our Sisters.Authors Laura Harjo, Jenell Navarro, and Kimberly Robertson show how wwos has engaged community through the sacred ontology of beading.This chapter provides a valuable summary of activism and strategies to end mmiwg2s,
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.433 | 0.220 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".