Post-World War II Masculinities in British and American Literature and Culture: Towards Comparative Masculinity Studies
Bibliographic record
Abstract
Contents: Towards comparative masculinity studies: on the interdependence of national identity and the construction of masculinity, Stefan Horlacher The early Cold Warrior on screen: an all-purpose signifier?, Kathleen Starck The flexible Mr Ripley: noir historicism and post-war transnational masculinity in Patricia Highsmith's The Talented Mr Ripley, Elizabeth A. Hatmaker and Christopher Breu 'And I mean is it any wonder that all men end up emasculated?': post-war masculinities in Richard Yates' Revolutionary Road and John Braine's Room at the Top, Claudia Falk The colors of masculinity: gender and the camera from 60s street photographers to Paul Graham and Martin Parr, Christoph Ribbat Accounting for a crisis - a transatlantic analysis of male first-person narratives: Martin Amis's Money versus Evan S Connell's The Diary of a Rapist, Erik Pietschmann Anxious men: male friendships and domesticity in James Dickey's Deliverance, Lisa Felstead 'Cubism' as intersectionalism: John Berger's figures of masculinity, Dirk Wiemann 'It's one hell of a mess in here': masculinity, the myth of the frontier and the renunciation of the mother in Arthur Miller's Death of a Salesman, David Mamet's American Buffalo and Sam Shepard's True West, Christa Grewe-Volpp Constructions of masculinity in Philip Roth's Portnoy's Complaint, Frank Chin's The Chickencoop Chinaman and Ishmael Reed's Flight to Canada, Angelika Kohler Gendered and racialized: reclaiming Chinese American masculinities since the 1970s, Mirjam M. Frotscher Index.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.010 | 0.018 |
| Science and technology studies | 0.019 | 0.012 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".