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Record W4372049436 · doi:10.1086/723463

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2023· article· en· W4372049436 on OpenAlexaboutno aff

Bibliographic record

VenueSigns · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsQueerTransgenderHoganPicnicClosetLesbianArt historyVisual artsSpace (punctuation)SociologyArtMedia studiesHistoryGender studiesComputer scienceAnthropologyGeography

Abstract

fetched live from OpenAlex

Next article FreeCoverPDFPDF PLUSFull Text Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinked InRedditEmailQR Code SectionsMoreCover: Jessica Whitbread and Morgan M Page (Odofemi), Space Date—Bedroom 1. Photo: Tania Anderson.Space Dates is a collaborative project by Canadian queer artist-activists Jessica Whitbread and Morgan M Page (Odofemi) focused on interrogating, in often hilarious and surreal ways, the intersection of the criminalization of HIV nondisclosure, the “safer sex industrial complex,” and queer women’s sexualities. The project centers on the visual theme of two women in spacesuits going on cute dates and attempting to have so-safe-you-can’t-even-feel-it sex with each other.Space Date—“Picnic” was first performed as part of a Day With(out) Art at the Art Gallery of Ontario in 2012 as an extension of the PosterVIRUS collaboration with Onya Hogan-Finaly on I DON’T NEED TO WEAR A SPACE SUIT TO FUCK YOU! “Eating Out” was performed at Rats 9 Gallery in Montreal (2013).© 2012 by Jessica Whitbread and Morgan M Page (Odofemi). Permission to reprint may be obtained only from the artists. Next article DetailsFiguresReferencesCited by Signs Volume 48, Number 3Spring 2023 Article DOIhttps://doi.org/10.1086/723463 © The University of Chicago. All rights reserved.PDF download Crossref reports no articles citing this article.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.039
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0050.004
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.9610.928

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 head0.080
GPT teacher head0.418
Teacher spread0.337 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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