Bibliographic record
Abstract
Representations of boys and men in Disney films often escape notice due to presumed gender neutrality. Considering this omission, we explore masculinities in films from Disney’s lucrative subsidiary Pixar to determine how masculinities are represented and have and/or have not disrupted dominant gender norms as constructed for young boys’ viewership. Using Raewyn Connell’s theory of gender hegemony and related critiques, we suggest that while Pixar films strive to provide their male characters with a feminist spin, they also continue to reify hegemonic masculinities through sharp contrasts to femininities and by privileging heterosexuality. Using a feminist textual analysis that includes the Toy Story franchise, Monsters, Inc., Finding Nemo, The Incredibles, and Coco, we suggest that Pixar films, while offering audiences a “new man,” continue to reinforce hegemonic masculinities in subtle ways that require critical examination to move from presumed gender neutrality to an understanding of continued, though shifting, gender hegemony.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".