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Record W4211026043 · doi:10.32920/ryerson.14655729

Hiding in Delight: Transgression, Irony And the Edge of Vice

2021· preprint· en· W4211026043 on OpenAlexaffabout
Ryan Bigge

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsToronto Metropolitan UniversityCentre for Social InnovationYork University
Fundersnot available
KeywordsIronyForegroundingCapital (architecture)CasualMarine transgressionPoliticsCommoditySociologyAdvertisingMedia studiesPolitical scienceAestheticsLawHistoryArtBusinessLiterature

Abstract

fetched live from OpenAlex

This study examines a Montreal-based underground magazine and its use of "edge" as a strategy of retaining subcultural capital and limiting its readership, thus creating a narrow but profitable niche market that extends Thomas Frank's work on rebel consumption. Vice, through its content, tone and business strategies, unites a series of diverse but related issues including subculture, transgression, cultural intermediaries, the political economy of magazines, the audience commodity, the politics of pleasure and how media texts constitute audiences as consuming subjects. Through a combination of interlocking discursive and aesthetic strategies that involve transgression and irony, Vice is able to minimize aspects of the audience commodity as described by Dallas Smythe while foregrounding its subcultural capital. In this way, it is able to convert subcultural capital into economic capital while remaining a relevant and authentic underground publication.

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: Other · Consensus signal: Other
Teacher disagreement score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.023
Scholarly communication0.0080.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.025
GPT teacher head0.229
Teacher spread0.203 · 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
Published2021
Admission routes2
Has abstractyes

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Same topicContemporary Literature and CriticismFrench-language works237,207