Bibliographic record
Abstract
Beydoun, K. A. (2023). The new crusades: Islamophobia and the global war on Muslims.University of California Press. "How could Europe lord it over a continent ten times its size?” wonders a voice in Wizard of the Crow, a novel by the Kenyan writer Ngũgĩ wa Thiong'o (2006, p. 681). One answer to this rhetorical question is addressed by the Palestinian-American intellectual and activist Edward Said’s (2003) statement: “Every empire, however, tells itself and the world that it is unlike all other empires, that its mission is not to plunder and control but to educate and liberate” (as cited in Beydoun, 2023, p. 68). Much of the colonial telling happens in the realm of education, whose institutionalized tools of textbooks and policies have been responsible for reproducing the fake history of the imperial narrative, one that silences the oppressed and lets the oppressors shine with nobility. Said’s statement not only answers the above question but also points to the empire’s hegemonic aspirations of constituting the identity of the Other since the Other in colonial discourse is framed as the uneducated who needs to be educated, necessarily, in the logics of the empire. Instilling racism as a major colonial project against the Muslim Other has been the case with the United States of America’s foreign policy in the aftermath of 9/11, a renewed imperialism in the name of fighting “terror.” Therefore, educating the U.S. Muslim youths about themselves as being anti-Western barbaric terrorists is as colonially imperative as educating white American generations about the latter being defenders of White “democratic” civilization against the “barbarity” of the former. Challenging the dominant stories of the empire demands devising tools that shake the grand narrative from within by making the missing narratives visible and heard
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 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".