How Do Hollywood Movies Portray Muslims and Arabs after 9/11? “Content Analysis of The Kingdom and Rendition Movies”
Bibliographic record
Abstract
This research paper is basically a content analyses paper of two Hollywood Movies ( The Kingdom and Rendition ). Both movies were released on 2007 after 9/11 attacks and that is because the paper focusing on the era after 9/11. It consists of two parts: The literature review part where the author looked into numerous articles and studies that aim at explaining the situation on how Hollywood films depicted the Muslim community after the September 11th attack. In addition, the author looked at different articles and books that studied the history of Muslims and Arabs depiction in the Western media in general and Hollywood movies specifically to find out how theses portrayals and stereotypes have changed after 9/11 attacks. The second part involves the analysis of both movies to find out how Hollywood portrays Arabs and Muslims after 9/11. I analyzed and criticized most of the movies’ scenes with regard to the language they used, the places where the scenes of both movies took place and other minor details such as how the directors narrated and articulated different events and scenes with different Islamic symbols.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".