Bibliographic record
Abstract
This chapter builds on my ongoing work on men, masculinities and popular romance (Allan 2020) and does so by reading The Bromance Book Club , which tells the story of men who have a secret book club, in which they read romance novels to improve their love lives. This narrative is not entirely without precedent. The Canadian newspaper The Globe and Mail profiled a book club of men that set out to read Nora Roberts, as one of the men was about to get married and his fiancé was reading the latest novel by Roberts. In this chapter, I am interested in exploring how self-improvement becomes a kind of quest narrative for the hero in which love is the ultimate prize. In the case of The Bromance Book Club , the love that is achieved is a romance renewed and a sexually satisfying love story. Romance novels remain, to my mind an ideal space in which to study romantic love as a cultural experience and desire, to these ends, my work will build on the work of Catherine Roach particularly her book Happily Ever After: The Romance Story in Popular Culture .
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".