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Record W4389694170 · doi:10.1515/9780889776845

Raw

2019· book· en· W4389694170 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUniversity of Regina Press eBooks · 2019
Typebook
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Marking the tenth anniversary of Tim Dean’s Unlimited Intimacy, Raw returns to the question of sex without condoms, or barebacking, a timely topic in the age of PrEP, a drug that virtually eliminates the transmission of HIV. "Essential reading for anyone interested in the politics of sex, sexuality and sexual representation in the 21st century." —John Mercer, author of Gay Pornography "Finally, queer theory returns to a topic it has had surprisingly little to say about: sex! Underpinning these essays is a thrilling wager: that desire demands discourse but resists rationalization." —Damon R. Young, author of Making Sex Public and Other Cinematic Fantasies "A major contribution to research. It opens up the discourse on barebacking to a varity of perspectives and theoretical arguments, and makes clear that the topic remains relevant." —John Paul Ricco, author of The Decision Between Us "Raw provides an account of the state of queer-theoretical scholarship on bareback today, and makes a pluralising and distinctive contribution to that body of work, significantly broadening this field of scholarship." —Oliver Davis, editor of Bareback Sex and Queer Theory across Three National Contexts (France, UK, US) Contributors: Jonathan A. Allan (Brandon University), Tim Dean (University of Illinois at Urbana-Champaign), Elliot Evans (University of Birmingham), Christien Garcia (University of Cambridge), Octavio R. Gonzales (Wellesley College), Adam J. Greteman (School of the Art Institute of Chicago), Frank G. Karioris (University of Pittsburgh & American University of Central Asia), Gareth Longstaff (Newcastle University), Paul Morris (San Francisco), Susanna Paasonen (University of Turku), Diego Semerene (Oxford Brookes University), Evangelos Tziallas (Concordia University), Ricky Varghese (Toronto), Rinaldo Walcott (University of Toronto)

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.523
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.046
GPT teacher head0.273
Teacher spread0.227 · 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