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.
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".