Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The powerful story of how the War on Terror created the conditions for the emergence of a novel theory of jihad The post-9/11 period saw the emergence of the figure of the homegrown radical Muslim, raising fears and worries about the possibility of an enemy exceptionally capable of harming and destabilizing the nation-state. Against this figure of the radical stood that of the moderate Muslim who represented the possibility of national unity despite religious and racial differences. In Homegrown Radicals , Youcef Soufi brings the radical and moderate Muslim together in uneasy tension, offering a study into how state violence inextricably tied them together in post-9/11 Canada and the US. By focusing on the radicalization of three Muslim students on the Canadian prairies, it traces North American Muslims’ general sense of affective injury over the loss of Muslim life in Western military campaigns overseas. In this context, a new theory of jihad rooted in a Muslim utopian imagination emerged, one that marked a significant rupture with premodern Islamic thought. The three “radicals” focused upon in this book were among thousands of Anglophone Muslims who found this new theory compelling as a diagnosis and solution to the violence unleashed in the War on Terror. The book examines how, why, and with what consequences for their families, friends, and Muslim community. In so doing it highlights that post 9/11 Islamophobia has operated through the conceptual blurring of the line between the “moderate” and “radical” Muslims and asks what alternative forms of solidarity may transcend the violent boundaries of the nation-state.
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.
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 | 0.000 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it