Bibliographic record
Abstract
Acknowledgements Notes on the Contributors Introduction: Identifying the Middlebrow, the Masculine and Mr Miniver K.Macdonald Reading Class, Examining Men: Anthologies, Education, and Literary Cultures S.McPherson The Evolution of the Masculine Middlebrow: Gissing, Bennett, Priestley C.E.Hill 'Watching the Papers daily in Fear and Trembling': the Boer War and the Invention of Masculine Middlebrow Literary Culture J.Wild Professionalism and the Cultural Politics of Work in the Sherlock Holmes stories C.Clarke From Holmes to the Drones: Fantasies of Men without Women in the Masculine Middlebrow N.Humble Healing Landscapes and evolving Nationalism in interwar Canadian Middlebrow Fiction of the First World War A.Tector 'Everybody's Essayist': on Middles and Middlebrows C.Pollentier Modernity and the Gendering of Middlebrow Book Culture in Australia D.Carter 'Mind's Middle Distances': Men of Letters in interwar New Zealand C.Hilliard The Political Middlebrow from Chesterton to Orwell A.Vaninskaya 'The Collaborator, the Tyrant, and the Resistance': The Lion, The Witch, and the Wardrobe and Masculine Middlebrow England in the Second World War A.Rea Bibliography Index
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".