Bibliographic record
Abstract
As mass media burgeoned in the years between the first and second world wars, so did another phenomenon—celebrity. Beginning in Hollywood with the studio-orchestrated transformation of uncredited actors into brand-name stars, celebrity also spread to writers, whose personal appearances and private lives came to fascinate readers as much as their work. Women, Celebrity, and Literary Culture between the Wars profiles seven American, Canadian, and British women writers—Dorothy Parker, Anita Loos, Mae West, L. M. Montgomery, Margaret Kennedy, Stella Gibbons, and E. M. Delafield—who achieved literary celebrity in the 1920s and 1930s and whose work remains popular even today. Faye Hammill investigates how the fame and commercial success of these writers—as well as their gender—affected the literary reception of their work. She explores how women writers sought to fashion their own celebrity images through various kinds of public performance and how the media appropriated these writers for particular cultural discourses. She also reassesses the relationship between celebrity culture and literary culture, demonstrating how the commercial success of these writers caused literary elites to denigrate their writing as "middlebrow," despite the fact that their work often challenged middle-class ideals of marriage, home, and family and complicated class categories and lines of social discrimination. The first comparative study of North American and British literary celebrity, Women, Celebrity, and Literary Culture between the Wars offers a nuanced appreciation of the middlebrow in relation to modernism and 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.018 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".