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Record W7155099970 · doi:10.1515/9781988111902

The Pornographic Delicatessen

2025· book· W7155099970 on OpenAlexaboutno aff
Matthew Purvis

Bibliographic record

Venuenot available
Typebook
Language
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsEroticismAutomatism (medicine)Period (music)JournalismPlankPornographyHuman sexuality

Abstract

fetched live from OpenAlex

Following the Second World War, Montréal earned a reputation as a North American hotbed of eroticism due to its red-light district, nightclub scene, and pornography industry. Although this erotic environment had a significant presence in the art and media of the period, the topic has been neglected by scholars. The Pornographic Delicatessen: Midcentury Montréal’s Erotic Art, Media, and Spaces offers an important examination of the development of erotic art and design in the city’s postwar and Quiet Revolution era. Matthew Purvis surveys a range of erotic materials to rediscover nearly forgotten artworks in a period that expanded definitions of what could be considered art. He stresses the confluence of visual art, film, magazines, and journalism during the period, as formal models passed from surrealism and automatism into the evolution of a Quebec-specific variation of pop art, ti-pop. A deeply researched work, The Pornographic Delicatessen shows how eroticism was central to marginal art as well as how aspects of it were adapted and assimilated into the expanding field of institutionalized art being constructed through state intervention.

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.495
Threshold uncertainty score0.985

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.009
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.002

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 head0.040
GPT teacher head0.353
Teacher spread0.313 · 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
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
Published2025
Admission routes1
Has abstractyes

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