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Enregistrement W4317780607 · doi:10.1111/1556-4029.15199

Commentary on: Prats M, Raymond S, Gasman I. Religious radicalization and lone‐actor terrorism: A matter for psychiatry? <i>J Forensic Sci</i>. 2019;64(4):1253–8. doi: 10.1111/1556‐4029.13992

2023· letter· en· W4317780607 sur OpenAlexaff
Ibrahim Mohammad, Zeynep Selaman

Notice bibliographique

RevueJournal of Forensic Sciences · 2023
Typeletter
Langueen
DomaineSocial Sciences
ThématiqueTerrorism, Counterterrorism, and Political Violence
Établissements canadiensUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésRadicalizationTerrorismIslamIndoctrinationPopulationCriminologyIdeologyPsychologyTerminologySociologyLawPoliticsPolitical scienceHistoryPhilosophy

Résumé

récupéré en direct d'OpenAlex

The topic of the role of the psychiatrist in preventing radicalization and acts of terrorism is a contentious one [1, 2]. We read with great curiosity the case report by Prats et al. entitled “Religious Radicalization and Lone-Actor Terrorism: A Matter for Psychiatry?” [3], where the authors did an excellent job at summarizing the current literature on terrorism from a psychopathologic perspective. In their case report, they described a young patient who became vested in “extremist Islamic ideology” on the background of a likely primary psychotic disorder. While we appreciate the authors' insight into this issue, we believe it is vital to ensure the choice of language used reflects the sensitive intersection that exists between religiosity and extremism. There are two important problems within this paper. First, the authors did not define the term “jihad” in their case report. Although this may have been the term that the patient himself had used, it is important to define it properly so as to adequately contextualize it within the Islamic framework. By definition, jihad literally means a “struggle,” and Muslims use it to describe any action related to bettering the community or oneself [4]. However, many individuals have a limited understanding of this term and only comprehend it in a radical sense, equating it solely to violence and terrorist attacks [5]. As the authors point out, only about a third of lone-actor terrorists are religiously motivated [3, 6], and the usage of politically charged terminology without adequate definitions only serves to further stigmatize the Muslim population by automatically equating it to extremist ideology. This is especially important in the field of forensic psychiatry, as Muslims are overrepresented in European correctional systems [7]. As such, it is crucial that any paper addressing radicalization define this term properly or avoid its usage altogether. Second, as an example of a cause for hospitalization in a secure unit, the authors state that “if a patient shouts ‘Allah Akbar,’ the question of his/her hospitalization in a secure unit emerges” [3]. Again, when using terms from the Islamic lexicon, especially ones that have been pejorated into a term of hostility and associated with terrorists [8], it is critical to define them beforehand. The phrase “Allahu akbar,” also known as the “takbir,” signifies “God is the greatest.” In this sense, it is used to celebrate times of joy, to declare support to a speaker, or to express awe, among the many other ways it is used across the spectrum of human emotion [8]. Therefore, the authors' suggestion that the usage of this term is pathologic and should make the psychiatrist consider hospitalizing the one who said it is problematic. Indeed, despite the innocence of the phrase, it has become a greatly politicized term. It is not uncommon for members of the public to associate any usage of the takbir to terrorism, with Muslims often being automatically seen as perpetrators of terrorist actions [9, 10]. Thus, if such an unjustly contentious term is to be used in an academic paper, it is crucial for it to be properly defined so as to not support the negative stereotyping of Muslims. The issue of radicalization and terrorism is important to explore from a psychiatric lens, as there may be a role for our profession to play in preventing loss of life. Given the sensitive nature of this matter, it must be approached sensibly and objectively. In addition, the heedless use of language that stereotypes Muslims may lead to only recognizing members of the Islamic faith as terrorists. For example, there were notable controversies surrounding the Anders Breivik case in Norway. The country's response to this mass murderer was in stark contrast to their approach to “Islamist” terrorists, and the legal process even included a controversial forensic psychiatry report [11]. If we do not approach this issue with the sensitivity that it deserves, it is possible that our lack of diligence will lead to missing instances of radicalization as well as harm to our Muslim patients, especially those under the forensic system. This is in part a reflection of the lack of training we receive in this area, highlighting the need for further discussion and research.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,031
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,035
Score d'incertitude au seuil0,071

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,031
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0020,001
Études des sciences et des technologies0,0030,003
Communication savante0,0030,006
Science ouverte0,0060,003
Intégrité de la recherche0,0350,039
Charge utile insuffisante (le modèle a refusé de juger)0,0210,021

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.

Tête enseignante Opus0,025
Tête enseignante GPT0,317
Écart entre enseignants0,293 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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