Bibliographic record
Abstract
Over the last few decades, action cinema has become more technologically and narratively complex, allowing for more extraordinary on-screen spectacles that leave audiences at the edge of their seats. However, throughout all these transformations, one aspect of the action film has always remained consistent: the emphasis on the strapping male hero. The fearless male heroes we know today, like Rambo and John McClane, were developed during the 1980s and 1990s pure action cycle, where heroes had to embody idealized qualities of masculinity, such as physical strength, courage, and determination. These hard-bodied heroes established a generic standard for decades, creating an unattainable and disconnected standard of masculinity. Contemporary action films, like Spider-Man: Far From Home (2019), have begun countering these exaggerated portrayals of masculinity, presenting new action heroes who deviate from the generic convention to embody more nuanced representations of masculinity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".