Bibliographic record
Abstract
How did one act like a modern man in postwar Canada? With a great deal of difficulty. During the Great Depression and Second World War, many men were first out of work and then away from their families. After the war came attempts to re-establish the traditional gender hierarchy by emphasizing men’s modernity, allegedly superior rationality, and ability to handle risk, but the strategy had contradictory repercussions. The Manly Modern: Masculinity in Postwar Canada traces the history of what happened when men’s supposed modernity became one of their defining features. Through a series of case studies covering such diverse subjects as car culture, mountaineering, war veterans, murder trials, and a bridge collapse, Christopher Dummitt argues that the very idea of what it meant to be modern was gendered. A strong current of anti-modernist sentiment bubbled just beneath the surface of postwar masculinity, creating rumblings about the state of modern manhood that, ironically, mirrored the tensions that burst forth in 1960s gender radicalism. The first major book on the history of masculinity in Canada, The Manly Modern will appeal to scholars and students in history, gender studies, and cultural studies, as well as to readers interested in the history and social construction of gender.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.021 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".