The Reimagining Kinship, Gender, and Sexuality in Indigenous Communities Colloquium: An Overview and Reflective Essay
Bibliographic record
Abstract
The following provides highlights from the Reimagining Kinship, Gender, and Sexuality in Indigenous Communities Colloquium, a one-day event held in Kingston, Ontario at Queen’s University in January 2019. It was hosted by the Journal of Critical Race Inquiry (JCRI) and the Department of Gender Studies, Sexual and Gender Diversity Certificate Program. The overarching aim of the day was to provide a space for meaningful dialogue on gender, sexuality, cultural revitalization and relations within Indigenous communities. This special section of this Journal of Critical Race Inquiry (JCRI) issue highlights some of the Indigenous intellectual work emerging from the Colloquium. The written pieces presented here cover some of the themes related to love, two-spirit identities, governance, kinship, consent, storytelling, and belonging. It is our hope the Reimagining Kinship, Gender and Sexuality in Indigenous Communities Colloquium and this special report from JCRI will spark further conversations and ideas that will contribute to the cultural resurgence of our Indigenous communities and knowledges across Turtle Island and among all our relations—human and more-than-human.
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.021 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.005 | 0.012 |
| 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".