Matriarchy in practice: Lessons from Anishinaabe Kweok in community programming
Bibliographic record
Abstract
Biindigen families is a grassroots group in Sudbury that offers community programming that is culturally grounded with language, ceremonies, activities, crafts that focus on Indigenous resurgence of cultural knowledge in Sudbury for Indigenous parents, children and families. Led by two powerful matriarchs, Nicole Wemigwans and Paula Pelletier, and supported by an all Ikwewag- women (women) staff, Biindigen Families has made great strides in restoring traditional matriarchal leadership in community health and development through community programming. In Anishnabemowin (Ojibwe language), the word for old women (leader, clan leader, seed source/carrier), ‘mindimooyenh’, the one who carries, or holds it together. With great respect to the women that came before us, the goal of this paper is to illustrate lessons learned in the conception, growing and being stages of Biindigen families for social workers that are rooted in traditional Anishinaabe matriarchy.
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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 | 0.015 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.022 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".