Mosaic Men: Critical Masculinities and National Identities in Contemporary Subnational Cinemas
Bibliographic record
Abstract
The crisis of traditional images of manhood in Western cultures, the disruption of nation-state primacy, and the revival of self-determination movements in the aftermath of globalization and the rise of neoliberal policies have caused a rupture in the stability of such concepts as nation and masculinity. This dissertation investigates the impact of these ruptures on the representation of gendered subjects in the subnational cinemas of Flanders, Scotland, and Quebec—that is film industries and imaginaries located in geopolitical contexts that lack nation-state recognition, but operate along the lines of national-belonging principles. Combining the methodologies of production history, film, and cultural analysis, this work looks at subnational cinemas from the interconnected standpoints of their institutional and representational developments. One the one hand, it maps how film production and funding infrastructures emerged in recent subnational contexts at the convergence of national and transnational interests. On the other hand, it considers how performances of gender and national identity are renegotiated in such complex geopolitical and cinematic scenarios. It is the central contention of this dissertation that subnational contexts, by virtue of their cultural and geopolitical hybridity, offer a significant set of possibilities for revisiting monolithic paradigms of national cinemas, identities, and gender power structures in the globalized era.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".