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Record W2036400348 · doi:10.1353/his.2012.0002

“We’re the girls of the pansy parade”: Historicizing Winnipeg’s Queer Subcultures, 1930s–1970

2012· article· fr· W2036400348 on OpenAlexvenueaboutno aff
Valerie J. Korinek

Bibliographic record

VenueHistoire sociale · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsQueerLesbianParadeCognitive reframingGender studiesCapital (architecture)SociologyHistoryArt historyArchaeology

Abstract

fetched live from OpenAlex

Œuvre inspirée de l’histoire queer, le présent article historicise le désir pour les personnes du même sexe du Winnipeg des années 1930 jusqu’à celui de la fin des années 1960. Cette recherche pose des questions percutantes, se demandant comment la nature du lieu (une grande capitale des Prairies) et de l’espace (endroits commerciaux, parcs publics et maisons privées) a permis, construit et gêné les activités queer. S’appuyant d’abord sur les premiers récits tirés de l’histoire orale de l’activité homosexuelle au temps de la dépression, cet article retrace les changements qu’ont provoqués la Deuxième Guerre mondiale, l’assouplissement des lois sur les boissons alcoolisées dans les années 1950 et l’essor économique des années 1960. Il en arrive à la conclusion que Winnipeg faisait alors office de «capitale queer » pour les résidents du Manitoba, du Nord-Ouest de l’Ontario et, dans une moindre mesure, de certaines parties de la Saskatchewan. Recadrer la ville de Winnipeg en l’examinant sous la loupe de l’identité queer jette un nouvel éclairage sur l’histoire que nous avons de cette ville bien connue. En effet, non seulement cela enrichit-il grandement la littérature nationale et internationale sur le développement urbain queer, mais permet également d’examiner dans la perspective des Prairies la formation d’espaces sociaux et d’identités sociales avant l’établissement d’organismes locaux voués à la cause des gais et lesbiennes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.550
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0070.005
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.228
Teacher spread0.205 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations5
Published2012
Admission routes2
Has abstractyes

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