Deradicalizing Detained Terrorists
Bibliographic record
Abstract
Deradicalization of terrorists constitutes a critical component of the global “war on terror.” Unfortunately, little is known about deradicalization programs, and evidence for their effectiveness is derived solely from expert impressions and potentially flawed recidivism rates. We present the first empirical assessment of one such program: the Sri Lankan rehabilitation program for former members of the Liberation Tigers of Tamil Eelam (a terrorist organization that operated in Sri Lanka until their defeat in 2009). We offer evidence that deradicalization efforts that provided beneficiaries with sustained mechanisms for earning personal significance significantly reduced extremism after 1 year (Study 1). We also found that upon release, beneficiaries expressed lower levels of extremism than their counterparts in the community (Study 2). These findings highlight the critical role of personal significance in deradicalization efforts, offer insights into the workings of deradicalization, and suggest practical methods for improving deradicalization programs worldwide.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".