Circle of Aunties : Fostering Co-conspiratorship with Families of MMIWGT2S in the Resistance of Settler Colonial Violence
Bibliographic record
Abstract
This paper details the co-research creation project “Circle of Aunties” outlining our processes, contributions and key learnings. The paper will begin by locating the author and the project’s approach and move to detailing our process - exploring the Circle of Aunties toolkit and the coresearch creation process. The paper will then outline the contribution this project makes to educational tools that create awareness around racialized gender-based violence in Canada and its relationship to existing literature regarding co-conspirator work. Co-conspirator/accomplice work are “alternative framework(s)” to allyship which call for “white scholars and activists to act as accomplices, working in solidarity with people of color within social justice and anti-racist movements” (Powell Kelly, 42). This paper explores our process of co-conspiratorship, bringing our project into conversation with contemporary anti-colonial efforts and calling for the prefacing of relationship in anti-colonial projects.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".