Bibliographic record
Abstract
For nearly a century now Lesbian, Gay, Bisexual, Trans, Intersex, Queer, and/or Two-Spirit Indigenous writers have addressed the ways the intellectual sovereignty of their lives and art strengthens understandings of Indigenous nationhood. This chapter considers how and why these intersections of queerness and sovereignty have informed the fast-growing canon of queer Indigenous literatures in English. To do so, it examines the rise of queer Indigenous activism and health sovereignty work in HIV education alongside the history of queer Indigenous literatures in what is currently the U.S. and Canada. Looking across the work of writers like Beth Brant, Carole laFavor, Craig Womack, Daniel Heath Justice, Deborah Miranda, Gwen Benaway, Billy-Ray Belcourt, M. Carmen Lane, Tommy Pico, and Joshua Whitehead, the chapter highlights the range and breadth of sovereign embodiments from the 1960s to 2020 and argues that in the present day queer sovereignty holds a radical promise for Indigenous futures.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".