Bibliographic record
Abstract
Disrupting Queer Inclusion is rooted in our continuing commitment to and interest in the complicated realities of the lives of queer and trans people in the racialized diasporic region known as "Canada." This collection reflects our shared commitment to a continued disordering of the processes of racism, white settler colonialism, and neoliberalism.The contributors met us in this work.What they offered us as editors not only shaped our own thinking about homonationalisms but also disturbed our assumptions about our individual lives.We thank each of them for their patience, their hard work, and their important insights.When we began this project, we believed in its necessity without actually knowing the trajectory of the journey upon which we were embarking.Along the way, many people, grants, technologies, and institutions supported us in this work.We greatly appreciate Darcy Cullen and her unwavering support, her patience with our many (and at times frequent) questions, and her clear and explicit directions.We are grateful to the University of Lethbridge for a research-dissemination grant that enabled the hiring of Cameron Duder, who created the book's index with perception and aplomb.We thank the Global Queer Research Group, Critical Studies in Sexuality, and the Liu Institute for Global Issues at the University of British Columbia for inviting us to speak about this project in its early stages.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.293 | 0.149 |
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".