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Enregistrement W6892559921 · doi:10.5255/ukda-sn-857364

From Russia with War: Interview Transcripts, 2022

2024· dataset· en· W6892559921 sur OpenAlexaboutno aff

Notice bibliographique

RevueVocBench (University of Rome Tor Vergata) · 2024
Typedataset
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMiddle EastContext (archaeology)PoliticsEthnographyForeign policyInternational relations

Résumé

récupéré en direct d'OpenAlex

'From Russia with War' is a collaborative research project that draws on years of pilot studies on violent mobilisation of non-state armed groups by research team members from the University of Glasgow, University of Ottawa, and Charles University Prague. This interdisciplinary research project combines the research team members’ joint experience of conducting high-risk ethnographic fieldwork amongst former and active members of armed groups in order to provide an in-depth explanation as to why individuals mobilise to become foreign fighters in the context of the former Soviet Union. (2023-02-13). Foreign fighters are individuals who choose to participate in armed conflicts occurring outside their countries of residence. Over the last decade, the post-Soviet region has served as a key supplier of foreign fighters for armed conflicts in the Middle East and across the former Soviet Union. The former Soviet Union, which includes Russian Federation, the Caucasus and Central Asian regions, supplied more foreign fighters to the Middle East than any other region of the world, including the Middle East itself. Although there has been little research done on foreign fighters in the context of the former Soviet Union, existing scholarly works echo mass media statements and the reports by international organisations in that post-Soviet foreign fighters are viewed as primarily driven by religious and political motivations. Most of these claims are based on the analysis of secondary sources and random interviews with conflict witnesses. No comprehensive fieldwork-based projects were ever conducted to understand what effect do sociocultural traditions, perceived repressions and opportunities have on foreign fighter mobilisation in the former Soviet Union. Years of preliminary exploratory research and a number of smaller pilot projects have led the research team to believe that post-Soviet foreign fighters mobilise not necessarily due to religious fervour or political ideology, but due to a complex combination of socio-cultural and constructivist causes. During our preliminary research, notions of honour, solidarity, obligation and culturally embedded customary laws emerge as instrumental in individuals’ choices to participate in armed conflicts abroad. In order to provide a definitive answer as to which factors can account for the high rates of foreign fighter mobilisation in the post-Soviet region, we propose developing a theory which will seek to demonstrate that individuals choose to become foreign fighters not necessarily due to their religion or political views, but also owing to sociocultural traditions, their perceptions of persecution and opportunities available to disengage from armed groups. To test that theory we will conduct original interview-based fieldwork amongst active, former, and aspiring foreign fighters in Ukraine, Russian Federation, and amongst Chechen Diaspora in Western Europe. To better understand the process of foreign fighter mobilisation and reasons behind it, we will sample widely individuals who chose to become foreign fighters in order to record their opinions and experiences. This original and interdisciplinary research project will be the first ever fieldwork-based effort to study foreign fighters in the former Soviet Union. Innovative research methods combining different ethnographic approaches will be used to carry out interviews with informants. Bearing in mind that project data can inform and improve the current understanding of radicalisation causes, the project findings will have major implications for de-radicalisation, conflict de-escalation and national security across Europe, Middle East and Asia. One of the main objectives of this study is to make a major scholarly contribution towards research on violent mobilisation and individual (micro-level) participation in armed conflict. Bearing in mind the scarcity of fieldwork-based studies on foreign fighter mobilisation, this project will be a major addition to the existing research on foreign fighters. Since this project is the first scholarly effort to collect primary data on foreign fighter in the former Soviet Union, it will provide scholars of armed conflicts with essential new empirical data. Both theoretical and empirical findings of this project will be of primary interest for researchers of conflict and security studies, as well as broader scholarly audiences in disciplines as diverse as anthropology, sociology, history, political science and social psychology. Alongside its scholarly contribution, this research project’s findings will be of particular interest for practitioners of deradicalization, peace-building and post-conflict integration, working for both international organisations and national governments, as well as for civil society. Since many current deradicalization programmes and social integration schemes in Europe, Middle East and Asia are heavily focused on prevention and pre-emption of radicalism, terrorism and extremism, examination of foreign fighter mobilisation causes will provide essential insights necessary to inform de-radicalization and social reintegration policies. More specifically, this research project will offer to practitioners, and the organisations that they work with, access to its interview data and its policy-relevant summaries of results, which could be used for further research or to inform future policies.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0030,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0270,037

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 Opus0,015
Tête enseignante GPT0,204
Écart entre enseignants0,189 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreJeu de données

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
Publié2024
Routes d'admission1
Résumé présentoui

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