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Record W2783357917 · doi:10.5860/choice.48-1177

The Canadian war on queers: national security as sexual regulation

2010· article· en· W2783357917 on OpenAlexaboutno aff

Bibliographic record

VenueChoice Reviews Online · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyState (computer science)National securityHuman rightsQueerPolitical scienceLesbianGender studiesSociologyLawSpanish Civil WarPolitics

Abstract

fetched live from OpenAlex

From the 1950s to the late 1990s, agents of the state spied on, interrogated, and harassed gays and lesbians in Canada, employing social ideologies and other practices to construct their target -- people who deviated from the so-called norm -- as threats to society and enemies of the state. Reconstructed from official security regime documents released through the Access to Information Act and interviews with gays, lesbians, civil servants, and high-ranking officials, The Canadian War on Queers offers a passionate, personalized account of a national security campaign that violated people’s civil rights and freedoms in an attempt to regulate their sexual practices. Gary Kinsman and Patrizia Gentile disclose not only the acts of state repression that accompanied the Canadian on queers but also forms of resistance that raise questions about just whose security was being protected and about national security as an ideological practice. This path-breaking account of how the state used national security to wage on its own people offers ways of understanding, and resisting, contemporary ideological conflicts such as the war on terror. It is required reading for students, scholars, and social activists in lesbian, gay, and queer studies or anyone interested in the issues of national security, state repression, and human rights. (UBC Press)

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.154
Threshold uncertainty score0.981

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0230.022
Scholarly communication0.0090.003
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.030
GPT teacher head0.333
Teacher spread0.303 · 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 designNot applicable
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

Citations108
Published2010
Admission routes1
Has abstractyes

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Same venueChoice Reviews OnlineSame topicCanadian Identity and HistoryFrench-language works237,207