Bibliographic record
Abstract
In 1925 the publishers of Broadway Brevities were tried for running an extortion operation targeting New York’s social and cultural elites. While the first version of the magazine whispered gossip in columnists’ suggestive innuendo, later incarnations shouted bold accusations in graphic tabloid headlines. On the pages of Broadway Brevities gossip was instrumentalized and urbanized, taking its place among the noisy, sensational features of city life. The life of the magazine’s long-time editor, Canadian-born Stephen G. Clow, runs through this story, connecting the different incarnations of the magazine and the circles in which they were published (in New York, 1917–34, and later in Toronto). Clow’s career took him from Manhattan’s literary world, in his role as a critic and book publisher, to notoriety as a scandal-mongering editor. Beginning in the 1920s Clow gathered – or fabricated – allegations about high-profile people in theatre, cinema, and enterprise, then threatened to publish unless they paid up. Clow would brag to Time magazine that he was “the most famous and wicked blackmailer in world history.” Broadway Brevities became infamous for sensational, vicious, and lurid coverage of gay life. Despite its mocking homophobia, Will Straw shows, the magazine can today help reconstitute the spaces and places of historical queer life in New York. Drawing on a singular collection of Brevities issues discovered over decades of research, Nights in Fairyland is a rich account of an overlooked form of periodical publishing and of urban nightlife, queer sociability, and the commodification of gossip in the 1920s and 1930s.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.212 | 0.022 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".