Russia in the prism of popular culture : Russian and American detective fiction and thrillers of the 1990s
Notice bibliographique
Résumé
The subject matter of my study is representations of Russia in Anglo-American and Russian spy novels, mysteries, and action thrillers of the 1990s. Especially suitable for representing the world split between good and evil, these genres played a prominent role in constructing the image of the other during the Cold War. Crime fiction then is an important source for grasping the changes in representing Russia after the Cold War. My hypothesis is that despite the changes in the political roles of Russia and the United States, the end of the Cold War and the demise of the Soviet Union continued to have a significant impact on popular fiction about Russia in the 1990s. A comparative perspective on depictions of Russia in the 1990s is particularly suitable in regard to American and Russian popular cultures because during the Cold War, Soviet and American identities were formed in view of the other. A comparative approach to the study of Russian popular fiction is additionally justified by the role that the idea of the West had played in Russian cultural history starting from the early eighteenth century. Reflection on depictions of Russia in crime fiction by writers coming from the two formerly antagonistic cultures poses the problem of representation in its relationship to time, history, politics, popular culture, and genre. The methods used in this dissertation derive from the field of cultural studies, history, and structuralist poetics. A combination of structuralist readings and social theory allows me to uncover the ways in which popular detective genres changed in response to the sentiments of nostalgia and anxiety about repressed or lost identities, the sentiments that were typical of the 1990s. My study of Anglo-American and Russian spy novels, mysteries, and action thrillers contributes to our understanding of the ways American and Russian cultures invent and reinvent themselves after a significant historical rupture, how they mobilize the past for making sense of the present. Drawing on readings of literature and culture by such scholars as Mikhail Bakhtin, Tzvetan Todorov, Siegfried Kracauer, Andreas Huyssen, Fredric Jameson, and Svetlana Boym, I show that differences in Anglo-American and Russian representations of Russia are a result of cultural asymmetries and cultural chronotopes in the United States and in Russia. I argue that Russian and American crime fiction of the 1990s re-writes Russia in the light of cultural memory, nostalgia, and historical sensibilities after the end of the Cold War and the fall of the Soviet Union. Memories of the Cold War and coming to terms with the end of the Cold War played a defining role in depicting Russia by Anglo-American detective authors of the 1990s; this role is clear from the genre changes in Anglo-American thrillers about Russia. Similarly, reconsideration of Russian history became an essential characteristic in the development of the new Russian detektiv.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,009 | 0,014 |
| Communication savante | 0,009 | 0,005 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».