Indigenous elders as sexual agents through storytelling as a queer and decolonial practice in ‘Canada’
Bibliographic record
Abstract
This chapter discusses Indigenous elders (largely women and femmes) as folks who have deeply intimate and sexual knowledge of more-than-human-beings (lands, waters, elements, spiritual beings, tricksters, plant and animal nations) and, therefore, as people who play a significant role in sexuality in Indigenous communities. It is argued that elders are sexual agents who have much to teach society about relationality by means of storytelling as a queer and decolonial practice, given that eco-erotic (hi)stories in Indigenous communities trouble settler colonialism and heteronormativity. This chapter also unpacks the settler colonial imposition of alternative versions of time, gender and relationality, in order to demonstrate how elders disrupt this imposition through eco-erotic (hi)stories. This analysis is framed around (hi)stories such as ‘Why Ravens Smile to Little Old Ladies as they Walk By …’, shared by Richard Van Camp and ‘The Woman Who Married the Beaver’, shared by Melissa Nelson.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.018 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".