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Enregistrement W4379420766 · doi:10.1353/see.2001.0045

Making Peasants Backward: Agricultural Cooperatives and the Agrarian Question in Russia, 1861-1914 by Yanni s> Kotsonis (review)

2001· article· en· W4379420766 sur OpenAlexaboutno aff
David Moon

Notice bibliographique

RevueThe Slavonic and East European Review · 2001
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSoviet and Russian History
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPeasantAgrarian societyElitePolitical scienceState (computer science)Economic historyIdeologyEmpirePolitical economyEconomyLawSociologyHistoryPoliticsEconomicsAgriculture

Résumé

récupéré en direct d'OpenAlex

REVIEWS I65 well-oiledwithbooze) and tumultuousproceedings;thedutiesof local officials, the administrationofjustice (understandablycorrupt,and inclined to deferto private justice in cases of rustling), and relationships of both amity and consanguinity,religiousdifferences,propertyand the statusof women. Some interestingpoints emerge: the early practice, reportedby Rigel'man (Istoriia odonskom kazachestve, I778) about drowningbabies (ofwhich O'Rourke is sceptical); the strength of friendship ties; the effectiveness of concerted resistenceto government -as when the Cossacksthwartedthe government's attempt to introduce the zemstvo. That they retained a measure of autonomy, however, was as much due to the state's concern to minimize its costs as to Cossack resistance; and Cossack egalitarianism survived only because the state intervened to rein in the Cossack elite which had been appropriating communityresources.While Cossacksfoughtall comersduringthe CivilWar, their collective stand against the state, whatever its ideological complexion, was based, not on emerging nationalism, but on traditionalcollectivism and esprit decorps which the tsariststatehad itselfhelped to preserveand promote. Department ofHistory PHILIP LONGWORTH McGillUniversity, Montreal Kotsonis, Yanni. MakingPeasantsBackward: Agricultural Cooperatives and the Agrarian Question in Russia,i86i -I9I4. Macmillan, Basingstoke and London, and St Martin's Press, New York, 1999. X+ 245 pp. Notes. Bibliography.Index. 742.50. IN 1914, between a quarter and a third of all peasant households in the Russian Empire belonged to agriculturalcooperatives. Through them they saved and borrowed money, jointly processed and marketed their produce (dairycooperativeswere the most common), and bought equipmentandother goods. The cooperative movement began in the aftermathof the abolition of serfdom,but did not takeoffuntilthe earlytwentiethcentury,especiallyin the years between 1905 and I914. Cooperativeswere 'the only institutionalmass movement to encompass all estates [sosloviia] on a voluntarybasis' (p. i). It is surprising,therefore,that the cooperative movement has received ratherless attention from historianswritingin Englishthan other aspectsof ruralRussia in this period. Thus, Yanni Kotsonis's monograph is a welcome addition to the literature. The leaders and activists of the cooperative movement came almost exclusivelyfrom educated 'society'(obshchestvo), and believed themselvesto be 'enlightened', 'rational'and 'civilized',in contrastto the people (narod), whom they considered 'benighted', 'irrational' and, above all, 'backward'.It was these perceived differencesin cultural'levels'that informed the participation of educated Russians in the cooperative movement, and their conviction in their abilityto 'transforma population that they believed could not conceive of transformingitself' (p. 95). The attitude of some professionalagronomistsis conveyed by a quotation fromAleksandrN. Chelintsev:'Allin all, the agronomistshouldknownot only the demandsof thepopulation itself,but alsothose of which it isnot conscious, i66 SEER, 79, I, 200I those which exist but are accessible only when the specialist-agronomist uncovers them. The agronomist... should know more than what peasants as non-specialistsin economic and organizationalanalysis -have to say.The agronomist should have his own lighthouse [.. .] visible to the agronomist, but perhapsnot visibleto others'(p. I03). The experiencesof earlycooperativesservedto confirmeducated Russians' stereotypesof peasants. Some peasantsused money they had borrowed from cooperativeloan associations,ostensiblyto investin equipment,to fundvillage celebrations, buy consumer goods and pay their taxes. They then borrowed more to repay their initial loans. In the end they had to turn to local money lenders, whom the associations were supposed to supplant, to repay their loans. In othercases, alltoo predictably,villagemoney lendersborrowedfrom loan associationsand then lent the money, at much higherratesof interest,to othervillagers. On the other hand, not all cooperative activists lived up to their selfperceptions . When S. P. Fridolin took up a post as an agronomist in St Petersburgprovince, he lecturedthe peasantson botanical classifications,but was unable to name any of vegetables they grew. He persevered. He used coloured chartsto teach them the 'correct'way to delivercalves (while trying to conceal his revulsion about the thought of seeing real cows giving birth). He set up a model farm which, unfortunately,failed. The peasants told him not to worry about them any more. 'Allthese occurrences', he noted, 'acted destructivelyon my spiritualcondition' (p. II 3). The main focus of the book, however, is not such conflictsof cultureor how cooperatives operated (or did not operate) in the villages. Rather, Kotsonis engages mostly in a careful, at times painstaking,analysis of discussionsand debates inside educated society, between and among government officials, zemstvo nobles, and professional agronomists, about the best ways to foster ruraldevelopment. A recurringtheme is the issue of whetherpeasantsshould be allowed to...

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)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,729
Score d'incertitude au seuil0,647

Scores Codex et Gemma par catégorie

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

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.

Tête enseignante Opus0,026
Tête enseignante GPT0,295
Écart entre enseignants0,269 · 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 tête enseignante, 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
GenreSynthèse

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
Publié2001
Routes d'admission1
Résumé présentoui

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