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Record W4406147841 · doi:10.1177/14733250241312259

Matriarchy in practice: Lessons from Anishinaabe Kweok in community programming

2025· article· en· W4406147841 on OpenAlex
Ophelia Moses-O’Donnell, Nicole Wemigwans, Paula Pitawanakwat

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueQualitative Social Work · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsLaurentian University
Fundersnot available
KeywordsClanIndigenousGrassrootsSociologyFocus groupGender studiesAnthropologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0080.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.075
GPT teacher head0.502
Teacher spread0.427 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it