Once a Muslim Always a Muslim: The Rise and Fall of the Muslim American Protagonist in Ayad Akhtar’s Disgraced
Bibliographic record
Abstract
The post 9/11 atmosphere of terror made Muslim Americans highly visible in the U.S.and they have been viewed as potential terrorist suspects. Therefore, in the light of these circumstances, Ayad Akhtar’s Play Disgraced is most apropos to be revisited as his works focus on the existence of Muslims in America as a post-colonial contact zone. In fact, the play puts the interracial marriage of Amir, and his wife Emily, a White American woman on center stage and makes it fall down before our eyes. Despite the fact that Amir’s credentials qualify him to be a model minority citizen, and reach the American Dream, he falls out of grace as soon as he appears in court to show support as a pro bono lawyer to a Muslim Imam who is tried for raising fund for a mosque in the Middle East. This paper belabors the reasons that led to the reversal of the hero’s fortune from prosperity to misery in the wake of the collapse of New York twin towers.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.036 | 0.017 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".