Indigenous elders as sexual agents through storytelling as a queer and decolonial practice in ‘Canada’
Bibliographic record
Abstract
Introduction This chapter argues that Indigenous elders ‘in’ so- called ‘Canada’ have much to teach us about sexuality (and by extension relationality and kinship ethics) through storytelling as a queer and decolonial practice. ‘Elder’ as a term in Indigenous communities refers to someone with immense knowledge and trusted insight; someone with a plethora of lived experiences and valuable understandings. As a trusted source of knowledge, elders are often who we (as Indigenous peoples) turn to for our (hi)stories (Adese, 2014), which can include multi- species, ‘dirty’ and erotic (hi)stories. As a result of the positionality of elders in our communities, I argue that elders are critical to sexuality as keepers of our intimate (hi)stories and as active agents of sexuality and/ or intimacy themselves. To accomplish this, I demonstrate the ways storytelling and eco- erotic Indigenous (hi)stories (wherein folks engage in intimate/ sexual relations with more- than- human beings) trouble settler colonial and heteronormative imposed ideas of intimacy, time, age and ‘acceptable’ relationalities. ‘More- than- human- beings’ refer to lands, waters, elements, spiritual beings, tricksters, plant and animal nations. More- than- human- beings are animate beings with personality, sovereignty, relationships, joys and responsibilities. The term ‘trickster’ refers to beings that exist across many Indigenous communities and (hi)stories. They are ambiguous and fluid beings, constant and fleeting disruptors, who are constantly breaking boundaries (Nelson, 2017). Are tricksters neither good nor evil, or maybe, they are both good and evil? That is tricksters’ power and beauty. They are fluid beings who work outside of, and operate as disruptors to, ‘Judeo- Christian’ constructions/ binaries such as ‘good and evil’, while offering us teachings about the world (King, 1993, cited in Nelson, 2017, p 240). For those who are first interacting with the term ‘more- than- human- beings’ as a lens through which to view the world and our environment, this will be a crucial underpinning to the chapter ahead, and the worldview of sexuality, relationality and kinship ethics it will speak to. These multi-species relations, wherein one engages in intimate and sexual relations with more- than- human- beings is represented within ‘eco- erotics’.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.030 | 0.021 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".