Cultural (Mis)Appropriation, Ideological Essentialism and Language: Analysis of Stereotyping in Hollywood Movie
Bibliographic record
Abstract
This study analyzes the monolithic-cum-essentialist portrayal of the non-Euro-American world in Hollywood movies, bringing forth the fact that the project of Othering is still at play but in different manifestations. This qualitative research endeavors to apply the concept of Orientalism to carry out a postcolonial analysis of the movie American Sniper. As Edward Said, decades ago, proposed a way to understand the notions of the West regarding East in his famous work Orientalism, the study helps to understand the embedded ideologies which are promoted through movies, and the way these discourses are used to shape the Western worldview about the East. The study highlights the fact that Hollywood, famous for entertainment and advanced motion pictures, is also being used for shaping the narrative of the superiority of the West. As Islam and Arabs have always remained in the limelight of the Hollywood movies, this special association of the entertainment media with the Islamic Orient is not just for the purpose of amusement but also to (un)consciously build unbefitting images of the East and portray it as a monolith of an inferior status for the common viewer in the West.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".