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Record W4401766256 · doi:10.53720/ruwg9149

Cruising and Code

2024· article· en· W4401766256 on OpenAlexaff
Ian M. Clark

Bibliographic record

VenueThe AnaChronisT · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCruise Tourism Development and Management
Canadian institutionsQueen's University
Fundersnot available
KeywordsCode (set theory)Programming languageComputer science

Abstract

fetched live from OpenAlex

In homophobic cultures, “cruising,” or the clandestine pursuit of sexual relations with strangers, is both a pleasurable act and a means of connecting with other queer individuals. This article utilises cruising as an analytical and methodological framework through which to examine Eric Stenbock’s “The True Story of a Vampire” (1894) as the author’s allegorical effort to combat his social and sexual isolation. Reading Stenbock’s text through this subcultural queer practice reconfigures the archetypal “stranger”—here, the vampire Count Vardalek—from simply threatening to also a personification of potential pleasure and queer community. This reading expands upon recent work in queer theory that argues the artistic works of fin-de-siècle aesthetes were a means of gaining sexual self-knowledge and a sense of personal independence within systemic oppression. These critical re-readings call attention to the often subliminal or coded language of queer expression within art; as such, this article posits the benefits of applying queer practices like cruising to literary analysis, particularly toward texts only publishable if their queer themes remain subtextual.

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)0.005
metaresearch head score (Gemma)0.013
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 score0.010
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.070
Scholarly communication0.0100.008
Open science0.0010.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.024
GPT teacher head0.332
Teacher spread0.308 · 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
Published2024
Admission routes1
Has abstractyes

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