找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Revolution’s Other World; Communism and the Pe Ken Post Book 1997 Ken Post 1997 communism.revolution.war

[復(fù)制鏈接]
樓主: Coenzyme
11#
發(fā)表于 2025-3-23 11:48:03 | 只看該作者
Comintern and Other Perspectives,ber Revolution and the period in which it became clear that ‘orthodox’ revolutions in the capitalist centre were not going to give the supposedly indispensable support to the Soviet regime. That left the member parties of the Comintern, and that body as a whole, faced with the continuing issue of pl
12#
發(fā)表于 2025-3-23 14:52:33 | 只看該作者
Confronting Colonialism: Revolution and the Raj,e Kuomintang [and] the strangulation of communism in India in the name of the “Workers’ and Peasants’ Party”’ (Trotsky 1962, p. 71). He thus extended his views on the inherently subordinate revolutionary status of peasants into a general fault of Stalin and the Comintern, a supposed over-emphasis on
13#
發(fā)表于 2025-3-23 18:41:35 | 只看該作者
Leninism/Stalinism as Theory and Discourse,sm as a theory and doctrine of revolutionary action in the periphery. This book takes it as axiomatic that such an enterprise is not dead, and the launching of retrospective analysis is therefore necessary.
14#
發(fā)表于 2025-3-23 22:44:49 | 只看該作者
15#
發(fā)表于 2025-3-24 06:13:25 | 只看該作者
Book 1997ich led to communism‘s greatest gains after the Second World War. Based on a theorisation of the building of revolutionary movements, this study critically assesses communist strategy and tactics using three key cases, China, India and Brazil, drawing out implications for possible future development
16#
發(fā)表于 2025-3-24 08:08:29 | 只看該作者
17#
發(fā)表于 2025-3-24 13:22:26 | 只看該作者
18#
發(fā)表于 2025-3-24 14:57:37 | 只看該作者
19#
發(fā)表于 2025-3-24 21:35:38 | 只看該作者
Biopharmaceutical CMC Outsourcing,e imaging (rs-fMRI) data into an ensemble deep learning architecture. Three main data representations of the same neuroimaging dataset were tested by building associated deep learning architectures and testing their accuracy in predicting if the neuroimaging data originated from healthy controls or
20#
發(fā)表于 2025-3-25 00:49:37 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 01:15
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
鹤峰县| 西城区| 泸西县| 册亨县| 丽水市| 隆昌县| 岱山县| 都兰县| 乐都县| 太白县| 天门市| 南昌县| 井陉县| 油尖旺区| 台东市| 资阳市| 安福县| 昭平县| 金湖县| 高唐县| 堆龙德庆县| 揭东县| 肇源县| 浦北县| 清涧县| 永昌县| 青海省| 辽中县| 临桂县| 定边县| 水富县| 屯门区| 景宁| 安达市| 日照市| 江西省| 韶关市| 加查县| 大英县| 宾阳县| 丹巴县|