Kirjojen hintavertailu – 12 903 724 kirjaa ja 27 kauppaa

Kirjailija

Qian Gong

Kirjat ja teokset yhdessä paikassa: 7 kirjaa, julkaisuja vuosilta 2016–2026, suosituimpiin kuuluu Narrating Chinese Youth Mobilities. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

7 kirjaa

Kirjojen julkaisuvuodet: 2016–2026.

Narrating Chinese Youth Mobilities

Narrating Chinese Youth Mobilities

He Zhang; Qian Gong

TAYLOR FRANCIS LTD
2025
nidottu
This book presents the first major initiative to introduce workshop-based Digital Storytelling to digitally dynamic and engaged youth, both in China and internationally. Conceived nearly three decades ago, the participatory and creative practice of Digital Storytelling has been embraced by public institutions, advocates, and researchers as a media democratisation intervention that empowers non-professionals to actively contribute to the media. Drawing on data from ten workshops conducted with Chinese young migrants in Australia and China, this work investigates the extent to which Chinese youth's participation in Digital Storytelling constitutes media citizenship in both home and destination societies. The findings show that their digital self-expressions construct "alternative stories" that resist dominant discourses of place, mobility, education, and language. This book provides nuanced insights into the experiences of young educational migrants through bottom-up autobiographical narratives. As the first major study of its kind after decades of China's reform era, it sheds light on Chinese society from a unique perspective on the interrelationships between state-mandated subjectivity, personal aspirations, and digitally mediated narrativity. The title will be of value to professionals in the field of Digital Storytelling and will also appeal to students and scholars interested in Chinese youth culture, educational mobility, media citizenship, digital literacy, and Chinese migration.
Narrating Chinese Youth Mobilities

Narrating Chinese Youth Mobilities

He Zhang; Qian Gong

TAYLOR FRANCIS LTD
2024
sidottu
This book presents the first major initiative to introduce workshop-based Digital Storytelling to digitally dynamic and engaged youth, both in China and internationally. Conceived nearly three decades ago, the participatory and creative practice of Digital Storytelling has been embraced by public institutions, advocates, and researchers as a media democratisation intervention that empowers non-professionals to actively contribute to the media. Drawing on data from ten workshops conducted with Chinese young migrants in Australia and China, this work investigates the extent to which Chinese youth's participation in Digital Storytelling constitutes media citizenship in both home and destination societies. The findings show that their digital self-expressions construct "alternative stories" that resist dominant discourses of place, mobility, education, and language. This book provides nuanced insights into the experiences of young educational migrants through bottom-up autobiographical narratives. As the first major study of its kind after decades of China's reform era, it sheds light on Chinese society from a unique perspective on the interrelationships between state-mandated subjectivity, personal aspirations, and digitally mediated narrativity. The title will be of value to professionals in the field of Digital Storytelling and will also appeal to students and scholars interested in Chinese youth culture, educational mobility, media citizenship, digital literacy, and Chinese migration.
Remaking Red Classics in Post-Mao China

Remaking Red Classics in Post-Mao China

Qian Gong

BLOOMSBURY PUBLISHING PLC
2023
nidottu
In the 1990s, China’s economic reform campaign reached a new high. Amid the eager adoption of capitalism, however, the spectre of revolution re-emerged. Red Classics, a historic-revolutionary themed genre created in the high socialist era were widely taken up again in television drama adaptations. They have since remained a permanent feature of TV repertoire well into the 2010s. Remaking Red Classics in Post-Mao China looks at the how the revolutionary experience is represented and consumed in the reform era. It examines the adaptation of Red Classics as a result of the dynamic interplay between television stations, media censorship and social sentiment of the populace. How the story of revolution was reinvented to appeal and entertain a new generation provides important clues to the understanding of transformation of class, gender, locality and faith in contemporary China.
Remaking Red Classics in Post-Mao China

Remaking Red Classics in Post-Mao China

Qian Gong

Rowman Littlefield
2021
sidottu
In the 1990s, China’s economic reform campaign reached a new high. Amid the eager adoption of capitalism, however, the spectre of revolution re-emerged. Red Classics, a historic-revolutionary themed genre created in the high Socialist era were widely taken up again in television drama adaptations. They have since remained a permanent feature of TV repertoire well into the 2010s. Remaking Red Classics looks at the how the revolutionary experience is represented and consumed in the reform era. It examines the adaptation of Red Classics as a result of the dynamic interplay between television stations, media censorship and social sentiment of the populace. How the story of revolution was reinvented to appeal and entertain a new generation provides important clues to the understanding of transformation of class, gender and locality in contemporary China.
Children’s Healthcare and Parental Media Engagement in Urban China
This book analyses parental anxieties about their children’s healthcare issues in urban China, engaging with wider theoretical debates about modernity, risk and anxiety. It examines the broader social, cultural and historical contexts of parental anxiety by analysing a series of socio-economic changes and population policy changes in post-reform China that contextualise parental experiences. Drawing on Wilkinson’s (2001) conceptualisation linking individual’s risk consciousness to anxiety, this book analyses the situated risk experiences of parents’ and grandparents’, looking particularly into their engagement with various types of media. It studies the representations of health issues and health-related risks in a parenting magazine, popular newspapers, commercial advertising and new media, as well as parents’ and grandparents’ engagement with and response to these media representations. By investigating ‘a culture of anxiety’ among parents and grandparents in contemporary China, thisbook seeks to add to the scholarship of contemporary parenthood in a non- Western context.
Children’s Healthcare and Parental Media Engagement in Urban China
This book analyses parental anxieties about their children’s healthcare issues in urban China, engaging with wider theoretical debates about modernity, risk and anxiety. It examines the broader social, cultural and historical contexts of parental anxiety by analysing a series of socio-economic changes and population policy changes in post-reform China that contextualise parental experiences. Drawing on Wilkinson’s (2001) conceptualisation linking individual’s risk consciousness to anxiety, this book analyses the situated risk experiences of parents’ and grandparents’, looking particularly into their engagement with various types of media. It studies the representations of health issues and health-related risks in a parenting magazine, popular newspapers, commercial advertising and new media, as well as parents’ and grandparents’ engagement with and response to these media representations. By investigating ‘a culture of anxiety’ among parents and grandparents in contemporary China, thisbook seeks to add to the scholarship of contemporary parenthood in a non- Western context.
Machine Learning Methods for Scientific Data Compression

Machine Learning Methods for Scientific Data Compression

Li Xiao; Jaemoon Lee; Tania Banerjee; Liangji Zhu; Qian Gong; Scott Klasky; Rahul Sengupta; Rangarajan Anand; Ranka Sanjay

Taylor & Francis
2026
Sidottu
This groundbreaking book, Machine Learning Methods for Scientific Data Compression, delivers an essential exploration into the rapidly evolving field of data reduction for scientific applications. As scientific simulations generate petabytes of data, traditional compression methods falter in maintaining critical fidelity. This work introduces novel machine learning approaches, from advanced autoencoders to generative foundation models, all designed to achieve unprecedented compression ratios while rigorously guaranteeing the accuracy of both primary data and quantities of interest. Dive into comprehensive chapters covering autoencoders, constrained and guaranteed autoencoders, adaptive data reduction, and attention-based hierarchical methods. Discover the power of guaranteed conditional diffusion and the revolutionary potential of foundation models for scientific data. The book culminates in a unified framework for scalable, high-fidelity data reduction, showcasing practical GPU-accelerated pipelines and experimental results across diverse domains like climate modeling, turbulent flow, and plasma physics. This resource provides the tools and insights needed to accelerate scientific discovery by getting smarter faster with data. The book is a must-read for researchers, data scientists, and engineers grappling with the challenges of managing and analyzing colossal scientific datasets in the age of exascale computing.