Politico-ideological Mobilisation and Violence in the Arab World
Bibliographic record
Abstract
This book presents a study of politico-ideological mobilisation and violence by focusing on the life stories, trajectories and narratives of individuals who mobilised for causes and conflicts in the Arab World. It provides a greater understanding of the biographical, sociological, political and historic factors pertinent for their radicalisation processes. What makes individuals identify with suffering and injustice, often of others and elsewhere? Why do individuals feel the need to stand up in the first place and how does violent action become a justifiable or necessary course of action? Why and how do they disengage from violence? This book, based on interviews conducted in Lebanon, Switzerland, and Canada, answers these questions. It presents new theoretical insights about politico-ideological mobilisation and violence. By focusing on grievances and grounding analysis in the empirical reality as it is shared and narratively constructed by those who are at the heart of the phenomenon, it moves beyond the moralistic and politicised debates that characterise the field. Interviewees include non-violent and violent engagement for causes and conflicts related to the Arab World, such as sympathisers or members of groups and causes from a variety of ideological orientations, including Shiite militias, Salafi-jihadist groups, radical left-wing groups, Palestine-specific, Kurdish groups, and others such as right-wing or unspecified affiliations. By choosing individuals with different forms of political engagement, both non-violent and violent, and different ideological orientations, it helps readers to get a better grasp of how similar grievances may lead to different outcomes. In focusing on three markedly different geopolitical contexts, the book also provides a crosscontextual understanding of mobilisation for political and violent action. The interviewees also include experts and peripheral actors such as professionals, researchers, policymakers, friends, or family members. Their perspectives complement and enrich some of the findings by providing external yet in-depth ‘expert knowledge’. Politico-ideological Mobilisation and Violence in the Arab World will be of great interest to criminologists, political scientists, sociologists, and other scholars interested in the study of terrorism, radicalisation and extremism. It will also appeal to journalists, policymakers, practitioners working in the field. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.118 | 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 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".