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Record W4385869878 · doi:10.59962/9780774853583-002

Preface

2007· book-chapter· en· W4385869878 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2007
Typebook-chapter
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

It isn't everyone who can say they got the idea for a book during sex.Fortunately my partner at the time took the abrupt cessation of our activities -I believe I shouted That's it!' and summarily abandoned her to search frantically for a pen and some paper, the better to record my wonderful new ideain good part.Oxford in 1993, where I first began my researches, was not so much unkind to lonely homosexuals from the colonies as indifferent.I found the latter far more difficult to bear.When I complained of administrative neglect or pointlessly prolonged procedures, I was told, with unveiled contempt, that perhaps things were done differently 'in America.'My spluttering rejoinder that I was not American but Canadian cut no ice; my tormentor of the moment would say no more but would imply, with an eloquently insulting glance, that there was really no difference.If my researches were solitary, however, I found a home in the burgeoning London lesbian club scene.The first drag king contest in the UK was held in 1995, and I watched in wonder as a lesbian photographer who had made her name in pictures of shaven-headed, bare-chested dykes (and who was later to become a man) vamped across the stage in a dyed feather boa, platform shoes, and a baby tee that exposed her belly tattoo.The most memorable performance of the evening was given by a young person known as Hans.Hans shuffled onstage in a mouse-brown suit, carrying a book under one arm, an orange in his hand, and a coil of rope drooping from a pocket.Ignoring the audience, he stood on the book, arranged the noose around his neck, and put the orange in his mouth.As he pulled the rope taut, he went limp, his pants dropping to the floor.Underneath was a pair of flesh-coloured pantyhose looped at the crotch into the world's tiniest penis.It was a virtuoso and avant-garde performance for that or any other time.Another inspired contestant from that night, Jewels, began his own weekly club in an old-tyme Soho drag joint.Soon I was cycling to Naive on Saturday

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)0.008
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 score0.316
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.6840.516

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 head0.043
GPT teacher head0.189
Teacher spread0.147 · 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
Published2007
Admission routes1
Has abstractyes

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