Jihadist terrorism: a protocol for evaluating the risk of radicalization and the perpretation of attacks
Notice bibliographique
Résumé
The main purpose of this doctoral thesis is to make up a protocol of a complete examination of the risk of radicalism and perpetration of jihadist attacks. In order to achieve this goal, the research was structured in two different parts. The first one consists of a bibliographical revision of the international literature about the phenomenon of jihadist terrorism. A theoretical basis was carried out about the risk factors of radicalism and attacks, as well as the existing theoretical and empirical protocols on this matter. The second part of our research is based on an original empirical research. A large database was prepared, consisting of all the jihadist attacks commited in West countries from January of 2006 until May of 2018. This date was determined given that the year 2006 is considered the starting point of the terrorist organization ISIS. The sample was composed of 145 authors of 116 attacks, of which 74 were carried out in Europe (n=105 individuals) and 40 in the U.S.A. and Canada (n=42 individuals). The methodology used in our work required the research of information in numerous official and journalistic sources to verify the data in the most profound way. Each one of the attacks was analyzed individually and in detail to obtain specific information about the biography of the individuals who perpetrated the attacks, their personal characteristics and the circumstances surrounding the commission of the events. Concerning all the cases identified, 158 criminological variables were extracted, according to the characteristics of the attacks and its authors, on which the statistical studies were based. The first ones were related to the crime behavior (n = 33), while the second ones were related to the sociodemographic characteristics, lifestyle, personality of the subjects and the process of radicalization that they experienced (n = 125). Both types of characteristics were codified in two differentiated databases in which the information collected was recorded, on the one hand from European cases, and on the other, from U.S.A. and Canada. Some key variables that provided information about the authors profiles and risky behaviors related to the perpetration of attacks were identified. One of the outstanding contributions of this research has been the identification of a new figure that we can call pseudojihadist. This finding shed light on the profile of an author who has been unknown so far, and who requires a specific approach. The final result of our research was materialized in the preparation of the screening and alarm protocols in order to consider both the risk of radicalism and the perpetration of attacks. We did it by comparing the risk factors proposed in previous protocols with the ones obtained in our research; in addition, we achieved an innovative contribution with original and relevant factors. Therefore, the goal of this research is that protocols will have a practical utility in the struggle against terrorism, and owing to this we required the help, collaboration and supervision of a special unit of the Guardia Civil in order to implement these protocols in Spain as soon as possible.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».