Notice bibliographique
Résumé
REVIEWS 779 More broadly, The Jewish Revolution in Belorussia also provides a compelling argument that the global economic and political crisis of the late 1920s played no small role in shaping racialized conceptions of antisemitism. ‘Each episode of crisis,’ Sloin writes, ‘hypostasized a certain manifestation of “Jewishness” and took this manifestation to be a malignancy on the body politic’ (p. 243). Andrew Sloin’s attempt to chart how the Bolshevik movement restructured Jewish lives in Belorussia is an engaging and theoretically sophisticated study. The book makes a timely contribution to Soviet and Jewish history and modern European history, and deserves to be read widely. University of Illinois Eugene M. Avrutin Graziosi, Andrea and Sysyn, Frank (eds). Communism and Hunger: The Ukrainian, Chinese, Kazakh, and Soviet Famines in Comparative Perspective. Canadian Institute of Ukrainian Studies Press, Edmonton, AL and Toronto, ON, 2016. viii + 158 pp. Maps. Figures. Tables. Notes. Bibliographies. $24.95 (paperback). This book presents six of the papers from a conference on Communism and hunger held at the University of Toronto in 2014. Only a few of the papers have substantial academic value, while most of them have flaws that undermine their validity and novelty. The best contribution is the comparative study of famines in Central Asia by Niccolò Pianciola, which places the history of the Soviet Kazakh famine of 1931–33 in the context of Soviet and Chinese treatment of their spheres in Mongolia and of the effects of the Chinese Great Leap Famine [GLF] in Tibet and Central Asia in 1958–61. Using archival and other primary sources in Russian and Chinese, Pianciola shows that the Soviet government restrained collectivization and livestock procurement policies in Mongolia in the 1930s, unlike in Kazakhstan, and that China emulated the Soviet Virgin Lands programme in the 1950s. The paper by Xun Zhou on the GLF presents revealing examples of the extreme violence perpetrated by Chinese officials, based on her monograph and document collection on the GLF. Sarah Cameron’s brief paper on the Kazakh famine discusses some of the scholarly literature, showing the dispute over the use of the term ‘genocide’. All these articles have minor errors in their discussions of the USSR. Theotherarticlesinthebookareweaker.LucienBiancoarguesthattheUSSR and PRC faced similar problems of chronic famines and growing population that both exploited the rural economy to support industrialization; that both increased grain collections from the villages during the famine; and that both chose to supply urban populations at the expense of villagers. The two SEER, 95, 4, OCTOBER 2017 780 cases differed, according to Bianco, in that the Chinese regime disrupted the villages more than in the USSR with the people’s communes, that nationality was more important in the USSR, and that the Chinese famine lasted longer and was more lethal and inconsistent. Bianco also compares the roles of the ‘actors’ responsible for the famine, among whom he includes some of the peasants (p. 76), and the different responses of the victims to the famines. Bianco’s comparisons are not very profound and have errors. He asserts, for example, that neither the Soviet nor Chinese authorities reduced grain procurement quotas (p. 59), but then admits that the Soviet government not only reduced quotas but returned grain to the villages (p. 59), and that the Chinese authorities reduced quotas once they learned of the famine (p. 71). He asserts that the Soviets had ‘local famines’ in 1924 and 1926, but in fact there was no famine in 1926 because the USSR had a large harvest that year — Werth in his essay calls 1925–27 a ‘golden age’ (p. 11), but Bianco does not mention this. The 1924 famine was not local but affected Ukraine, the Volga and other regions, which Werth also acknowledges (p. 11). Bianco asserts that Stalin in 1928 ‘needed to feed 41 million more people than Tsar Nicholas’ in 1897, but the difference between the Soviet 1926 census (147 million) and the 1897 census (125 million) was 22 million. He also cites Wemheuer but omits his finding that environmental factors reduced the 1960 harvest that caused the peak of the famine (Felix Wemheuer, Famine Politics in Maoist China and the Soviet Union, New Haven, CT, 2014, pp. 12, 246). Nicholas...
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 | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,008 | 0,004 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,468 | 0,456 |
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 ».