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Record W3118900795 · doi:10.22215/etd/2015-10749

Queer Quarantine: Conceptualizing State and Dominant Cultural Responses to Queer Threats as Discursive Tactics and Technologies of Quarantine

2015· dissertation· en· W3118900795 on OpenAlexaff
Péter Balogh

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicAfrican Sexualities and LGBTQ+ Issues
Canadian institutionsCarleton UniversityCanadiana.orgMinistry of Community Safety and Correctional Services
Fundersnot available
KeywordsQueerQuarantineQueer theoryPolitical scienceGender studiesSociology

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0080.052
Scholarly communication0.0080.011
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.042
GPT teacher head0.395
Teacher spread0.354 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

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