Native American Stereotyping in Peter Pan: A Modern Solution?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Over the past few decades, readers and viewers have become more critical about representations of minority groups, including representations of gender, race, and ethnicity. This has forced makers of new adaptations to critically think about how to adapt certain aspects of their older source text. This thesis investigates such an adaptation, namely the 2015 film Pan (directed by Joe Wright, based on J.M. Barrie’s Peter Pan (1911)), which took a transcultural approach and transformed the controversial Native American tribe into an abstract, imagined, and multicultural community. Through close reading and close viewing, this thesis provides an analysis of the representation of the tribe in both Peter Pan and Pan and shows that despite Wright’s efforts to remove the Native American aspects of the story, the film still includes various Native American stereotypes and a white supremacist discourse, similar to those present in the novel. While this particular version does thus not succeed at removing these contested aspects, this thesis does argue that the approach could still be favourable but suggests further research is needed.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it