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Record W4411547904 · doi:10.1017/9781009578103.004

Publishing for Professional Advantage

2025· book-chapter· en· W4411547904 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2025
Typebook-chapter
Languageen
FieldArts and Humanities
TopicPublishing and Scholarly Communication
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsPublishingComputer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

While exploring how specialist medical publishers and regular practitioners worked together to publish and advertise medical works on sexual matters, Chapter 3, Publishing for Professional Advantage, shows that the boundaries between communicating knowledge, promoting expertise, and trading on medical eroticism were not just blurry in contexts of the pornography trade and irregular medical practice. They were also blurry in regular medicine. Works on reproduction and sexual health issued by medical publishers were often textually similar to those issued by pornographers and irregulars, worked up using similar techniques, advertised, and distributed to non-medical readers in similar ways, and, regular practitioners often argued, for similar purposes. The chapter explores how and why these overlaps aroused particular concern among groups that advocated radical reforms to the medical profession. Rather than seeking to discipline regular medical publishing, however, reformers initially took a different route: they launched campaigns aimed at stamping out irregular practitioners’ trade in sexual health manuals.

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 categoriesScholarly communication
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 score0.985
Threshold uncertainty score0.415

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0030.003
Scholarly communication0.0150.010
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1240.062

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 head0.044
GPT teacher head0.226
Teacher spread0.182 · 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
Published2025
Admission routes1
Has abstractyes

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