Exacerbation of Panic Onstage: Ethnic Problems and Human Rights Violations in Yussef El Guindi’s Back of the Throat (2006)
Bibliographic record
Abstract
This article discusses the oppressive attitudes, ethnic problems, human rights violations, and onstage panic in Back of the Throat, a play by one of the most celebrated contemporary Arab-American dramatists, Yussef El Guindi. The study emphasizes El Guindi's exposition of the official American reaction against Arabs and Arab-Americans particularly after the devastating September 11 episodes. In the outset, the study provides a rapid survey of the history and origins of Arab-Americans as an ethnicity and traces their literary and dramatic production which has been mostly neglected. Further scrutiny of specific scenes from the play aims at highlighting the critical and horrible practices of power and authority which accumulate painful feelings inside Arab-Americans and pose a threat to human rights and liberties within borders of the United States. Key words : Arab; Muslim; Middle Eastern; Arab-American Literature; Yussef El Guindi; Back of the Throat; September 11; Ethnicity; Panic; Human Rights Violations; Terrorist Attacks
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".