Chinese Culture and Its Influence on Prison Society: Women’s Experience

2020 ◽  
Vol 101 (1) ◽  
pp. 3-20
Author(s):  
Ao Zhang
Keyword(s):  
Women Inmates ◽  
Chinese Culture ◽  
Behavior Pattern ◽  
Women's Experience ◽  
Prison Culture

Based on interviews with 30 female parolees/ex-inmates and 10 prison officers, this article argues that custody relationships among women incarcerated in China are “not easy,” and this is due primarily to distrust in prison society and a hierarchical prison culture. Even so, women inmates are motivated to form and maintain harmonious relationships with others. This article suggests that this behavior pattern is greatly influenced by the Chinese culture of pragmatic Confucianism, which further explains the women’s low interest in forming a prison subculture.

Development and Validation of a Chinese Culture-Based Adult Attachment Scale

2010 ◽  
Author(s):  
Chia-Chih D. C. Wang ◽  
Sachiko Ogata ◽  
Young S. Song ◽  
Ayleen Gomez ◽  
Kathy Julio ◽  
...  
Keyword(s):  
Adult Attachment ◽  
Chinese Culture ◽  
Development And Validation

Research on behavior recognition based on feature fusion of automatic coder and recurrent neural network

2020 ◽  
Vol 39 (6) ◽  
pp. 8927-8935
Author(s):  
Bing Zheng ◽  
Dawei Yun ◽  
Yan Liang
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Behavior Pattern ◽  
Rapid Development ◽  
Video Data ◽  
Support Vector ◽  
Behavior Recognition ◽  
Learning Methods ◽  
The Impact ◽  
Internet Of Things Technology

Under the impact of COVID-19, research on behavior recognition are highly needed. In this paper, we combine the algorithm of self-adaptive coder and recurrent neural network to realize the research of behavior pattern recognition. At present, most of the research of human behavior recognition is focused on the video data, which is based on the video number. At the same time, due to the complexity of video image data, it is easy to violate personal privacy. With the rapid development of Internet of things technology, it has attracted the attention of a large number of experts and scholars. Researchers have tried to use many machine learning methods, such as random forest, support vector machine and other shallow learning methods, which perform well in the laboratory environment, but there is still a long way to go from practical application. In this paper, a recursive neural network algorithm based on long and short term memory (LSTM) is proposed to realize the recognition of behavior patterns, so as to improve the accuracy of human activity behavior recognition.

Contextualising ‘Sin’ in Chinese Culture: A Historian's Perspective

2016 ◽  
Vol 22 (2) ◽  
pp. 105-124 ◽  
Author(s):  
Danny Hsu
Keyword(s):  
Chinese Culture ◽  
Actual Practice ◽  
Religious Traditions ◽  
Christian Teaching ◽  
Practice Perspective ◽  
History Of

Is the Christian teaching on sin a ‘stumbling block’ to Chinese accepting Christianity? This paper critiques the notion that Chinese have difficulty comprehending ‘sin’ because of the culture's long-standing belief in the humanistic potential for self-perfection without any reference to the divine. This view of Chinese culture has been too narrow and does not account for the fact that Chinese religious traditions have always had at their disposal a wide variety of resources to comprehend the Christian concept of sin. Incorporating a history-of-practice perspective can contribute to a more productive balance between the representation of Chinese culture and its actual practice and avoid the current tendency to posit Western theology against a narrowly constructed and idealised version of Chinese culture that is severed from both historical and present-day realities.

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