Queer Quarantine: Conceptualizing State and Dominant Cultural Responses to Queer Threats as Discursive Tactics and Technologies of Quarantine
Bibliographic record
Abstract
This study explores queer quarantine, my conceptualization of processes and practices aimed at assessing, diagnosing and isolating queer threats to the nation.In theorizing queer quarantine, I draw upon the longstanding conflation of queerness with disease and contagion, and build a case for reading the isolation, containment and casting out of queerness as an assemblage of discursive tactics and technologies aimed at quarantining queers beyond conventional understandings of quarantine.I examine the ways queers are imagined to threaten public space, healthy bodies, and the future of the nation, and provide a new accounting for so-called homophobic policies and practices deployed in statecraft and dominant culture.I also trace the emergence of the queer AIDS monster, an effect of disciplinary tactics of queer quarantine and a particular discursive formation in its own right.My study has two aims: building a case for queer quarantine and, at the same time, demonstrating how queer quarantine can be used as a new model of analysis to identify and explore some of the ways the Canadian state and dominant culture continue to marginalize and oppress queers despite the rights gains and "acceptance" that some gays and lesbians have achieved.My analysis reveals that in 1970s Toronto, the rapidly increasing visibility of queerness became a public threat necessitating tactical responses from local authorities and the police to quarantine queer spaces.The advent of AIDS saw a new and heightened level of surveillance directed nationwide onto queer bodies by medical and legal authorities, with the development of new tactics and technologies of queer quarantine to protect against multiplying threats of queer contagion.Increased state obsession with iii national security in the era of homonationalism sees a renewed focus on queer threats to the nation's future, for example, via children and the national blood supply.This interdisciplinary study weaves together concepts and theories from cultural studies, history, sociology, queer theory, feminist theory, contagion studies, epidemiology, and applied linguistics, resulting in a multi-scalar analysis of the ways that queer quarantine can be employed to provide new readings of state and dominant cultural responses to queer threats over a forty-year period.Writing a dissertation takes massive amounts of time and effort.During the long periods of research, writing, rewriting, revising and editing, I worked mainly alone, often feeling quite isolated.Along the way, however, I have been constantly reminded that we do not succeed alone.A wonderful group of helping hands, minds and hearts has nurtured and supported my work.I wish to acknowledge some of that support here.First, I would like to thank my dissertation committee for their guidance in helping me bring this project to fruition.My thesis supervisor, Patrizia Gentile, is an inspirational scholar, a strong leader and a caring friend.Pat's unwavering support and belief in my project emboldened me to reach higher and to accomplish more.Even when I felt a little lost, I knew I was in safe hands
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.052 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".