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
Our paper examines the latest frontier of the “War on Terror,” countering violent extremism (CVE), non-coercive approaches that aim to prevent “radicalization” that may lead to “violent extremism” or terrorism. We look at the recent implementation of CVE in Québec’s education sector. Based on an analysis of key policy documents and interviews with CVE practitioners, we find that: (1) teachers are responsibilized to safeguard society from the risk of terrorism through being expected to “know the signs” of radicalization and to build “resilience,” (2) students are responsibilized as agents who can influence their peers against violent extremist messaging and toward “prosocial” behaviour, and (3) elements of school curriculum are responsibilized, especially social studies education, to provide students with “critical thinking” skills thought to be lacking among those at risk of radicalization. We highlight the inherent contradictions in CVE, which, in Québec, claims to foster pluralism and inclusivity to combat Islamophobia, but as a modality of the “War on Terror” also targets and stigmatizes Muslim communities. Critical discussion of CVE’s social implications are needed to initiate critical dialogue in Canada over the impact of CVE in social services provision and the risk of securitizing the education sector in Québec.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it