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Enregistrement W2310585647

SHADOW OF ISLAMIC STATE HANGS OVER RUSSIA

2015· article· en· W2310585647 sur OpenAlexaboutno aff
Alexander Shumilin

Notice bibliographique

Revueid = 6765, shortTitle = DSP, editionType = 2, dateBegin = 1949-01-01 00:00:00.0, officeEncoding = UTF-8, officeStatus = 1, loadType = 14, langId = English · 2015
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSecurity, Politics, and Digital Transformation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMinistry of Foreign AffairsIslamShadow (psychology)State (computer science)NationalityChristian ministryAgency (philosophy)Political scienceForeign policyLawEconomic historyHistoryPoliticsSociologyImmigrationSocial science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

(Op-Ed) - SHADOW OF ISLAMIC STATE HANGS OVER RUSSIA. (By Aleksandr Shumilin, director of the Center Analysis of Middle East Conflicts at the Russian Academy of Sciences' US and Canada Institute. The Moscow Times, June 24, 2015, p. 8. Complete text:) It is impossible to say with certainty how many people holding Russian passports now fight the Islamic State [of Iraq and Sham]. This is because such volunteers hail not only from Russia itself, but also from former Soviet republics and communities of North Caucasus refugees now living in Europe. What's more, once they join up with ISIS in, say, Syria or Iraq, they do not always reveal their nationality immediately, hoping to protect loved ones back in Russia from negative repercussions. ... What is interesting in this regard is the fact that the Russian Internal Affairs Ministry and the Federal Security Service [FSB] offer different estimates of their numbers. For example, the Internal Affairs Ministry reported that approximately 800 Russian citizens were fighting ISIS in early 2015, increasing that number only modestly in subsequent months. ... By contrast, the FSB kicked off the year with an estimate of more than double that figure - 1,700 Russians - and by June, agency head Aleksandr Bortnikov was already quoting a figure of closer to 5,000. ... That discrepancy probably stems from each agency's differing goals. The Internal Affairs Ministry probably tends to underestimate their numbers so as to discourage the domestic and global press from implicating Russia in ISIS attacks. ... However, the FSB is reporting higher numbers. [This is done] firstly in order to show the scale of the Islamist underground threat Russia faces that the agency must battle, and secondly to prove that the FSB has made it so difficult the terrorists to operate on Russian territory that they must go abroad instead to fight the ISIS. ... These volunteers leave their homes in different countries - including Europe and the US - to join the ranks of terrorists in Syria and Iraq primarily because they have grown disillusioned by the sociopolitical, and to some extent, economic conditions at home, making them more susceptible to the propaganda of radical Islam. ... Whereas Muslim immigrants in Europe have difficulty integrating into what is for them a very unfamiliar society, Muslims in Russia face serious difficulties at home. ... This is especially true in the North Caucasus, where most leaders are authoritarian, clans struggle dominance according to the principle of for my friends, everything - others, the law, and where nearly total corruption and impunity before the law characterize almost everyone with close ties to the ruling authorities. ... Such conditions cannot but generate feelings of frustration and protest, especially among young people. Until 2014, such youth would sometimes join the local underground, risking death if caught in one of the special operations the authorities regularly conduct, and automatically condemning their relatives to the black list on file with the local authorities. But now they can join ISIS in Syria or Iraq to fight Islamist-style justice. ... Radical Muslim recruiters are always ready to help them disappear quietly so as to escape notice by relatives and officials, often resurfacing later in a designated location and bearing a new name. As a result, their relatives, although troubled, live in relative safety because the young man in question did not join the underground. ... As the newly minted recruits, they gain experience in the global struggle as it unfolds in the Middle East, preparing them to later apply those deadly skills in their homeland. In other words, the North Caucasus underground is losing its potential recruits, rendering it less dangerous the local authorities. ... Human Rights Watch mentions another contributing factor - namely, the frequent use of unjustified and excessive force by Russian security forces in cleansing population centers in the North Caucasus. The destruction of homes, creation of special detention zones and torture described by human rights activists have prompted many young people to seek revenge. They either escape into the woods to prepare their militant return, or else join ISIS. ... Another method used finding recruits in Russia and Europe is to find young Muslims eager to learn more about their faith and gradually transform them from moderates into radicals. This is most often accomplished with the help of mentors who are either part of their social group or who correspond with them via the Internet. ... That is how Moscow State University student Varvara Karaulova ended up in Turkey on her way to joining ISIS when she was intercepted by that country's intelligence agencies. ... And although Russian intelligence agencies might find this type of recruit more or less understandable, there is a second type that is more perplexing and that poses a growing threat to Russia.

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)0,003
score de la tête « metaresearch » (Gemma)0,002
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: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,847
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,002
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,004
Science ouverte0,0020,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,002

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 Opus0,035
Tête enseignante GPT0,295
Écart entre enseignants0,260 · 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
GenreEmpirique

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
Publié2015
Routes d'admission1
Résumé présentoui

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