Making It Count pdf epub mobi txt 电子书 下载 2025
- 历史
- 海外中国研究
- 统计学
- 政治学
- 中国研究
- 中国
- Ghosh_Arunabh
- CHINA
- 个人成长
- 自我提升
- 目标设定
- 时间管理
- 效率
- 习惯养成
- 成功学
- 人生规划
- 积极心态
- 影响力
具体描述
In 1949, at the end of a long period of wars, one of the biggest challenges facing leaders of the new People’s Republic of China was how much they did not know. The government of one of the world’s largest nations was committed to fundamentally reengineering its society and economy via socialist planning while having almost no reliable statistical data about their own country. Making It Count is the history of efforts to resolve this “crisis in counting.” Drawing on a wealth of sources culled from China, India, and the United States, Arunabh Ghosh explores the choices made by political leaders, statisticians, academics, statistical workers, and even literary figures in attempts to know the nation through numbers.
Ghosh shows that early reliance on Soviet-inspired methods of exhaustive enumeration became increasingly untenable in China by the mid-1950s. Unprecedented and unexpected exchanges with Indian statisticians followed, as the Chinese sought to learn about the then-exciting new technology of random sampling. These developments were overtaken by the tumult of the Great Leap Forward (1958–61), when probabilistic and exhaustive methods were rejected and statistics was refashioned into an ethnographic enterprise. By acknowledging Soviet and Indian influences, Ghosh not only revises existing models of Cold War science but also globalizes wider developments in the history of statistics and data.
Anchored in debates about statistics and its relationship to state building, Making It Count offers fresh perspectives on China’s transition to socialism.
作者简介
Arunabh Ghosh is associate professor of history at Harvard University.
目录信息
Abbreviations
Acknowledgements
1 Introduction
PART I. A Statistical Revolution
2 A New Type of Standardized Statistical Work
3 Ascertaining Social Fact
4 No “Mean” Solution: Reformulating Statistics, Disciplining Scientists
PART II. Seeing Like a Socialist State
5 The Nature of Statistical Work
6 To “Ardently Love Our Statistical Work”: State (In)Capacity, Professionalization, and their Discontents
PART III. Alternatives
7 Seeking Common Ground Amidst Differences: The Turn to India
8 A “Great Leap” in Statistics
Conclusion
Chinese Character Glossary
Bibliography
Index
· · · · · · (收起)
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从统计的角度看state capacity/incapacity。全方面书写毛时代的统计史，成功建立起了一套非常自圆其说的narrative: 从1950s的exhaustive enumeration + periodic reporting system, 到1957年向印度借鉴random sample survey的经验，再到反右+大跃进期间的typical survey主导。推动线性叙事的深层动力是冷战下三种意识形态和政治力量的角逐: 排除数学和自然科学的社会主义统计（exhaustive） vs.建立在概率论上“驯服”偶然的资本主义的统计(stochastic) vs. Maoist的民族志-群众路线式“调查报告.”(Ethnographic)
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评分从统计的角度看state capacity/incapacity。全方面书写毛时代的统计史，成功建立起了一套非常自圆其说的narrative: 从1950s的exhaustive enumeration + periodic reporting system, 到1957年向印度借鉴random sample survey的经验，再到反右+大跃进期间的typical survey主导。推动线性叙事的深层动力是冷战下三种意识形态和政治力量的角逐: 排除数学和自然科学的社会主义统计（exhaustive） vs.建立在概率论上“驯服”偶然的资本主义的统计(stochastic) vs. Maoist的民族志-群众路线式“调查报告.”(Ethnographic)
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