Islamophobia as a Form of Radicalisation
Bibliographic record
Abstract
This book is divided into four parts: Key concepts (part I); Contemporary political discourses on Islamophobia (part II); Media practices (part III); and Responding to Islamophobia, extremism and radicalisation (part IV).In this introductory chapter, we discuss the scope and shattered boundaries of Islamophobia as both a concept and a sociopolitical reality.We then attempt a definition of Islamophobia's theoretical and pragmatic dimensions.This conceptual chapter brings together an anthropologist and a communication scholar to consider whether and to what extent Islamophobia is a form of violent radicalisation.This will serve as a background against which we will present the fifteen chapters of this collective book, which relate interdisciplinary research, media content analyses, media discourse analysis, ethnographic research, intersectoral advocacy work and action research conducted in Belgium, Canada, France, Germany, Poland, Portugal and Spain.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".