Qian Gong – författare

This collection explores the ways in which women in academia from culturally and linguistically diverse backgrounds mediate the negotiation of linguistic discrimination and linguistic diversity in higher education, using autoethnography to make visible their lived experiences.The volume shows how women in academia from CaLD backgrounds, particularly those living or working in the Global South, draw on their multivalent complex linguistic backgrounds and cultural repertoires to cope with, and manage, linguistic and systemic gender discrimination. In adopting authoethnography as its key methodology, the book encourages these academics to ‘write themselves’ beyond the conventions from which women in academia have traditionally been forced to speak and write. The collection features perspectives from women across geographic contexts, sub-fields and levels of experience whose stories are not often told, putting at the fore their narratives, lived experiences and career trajectories in mediating issues around power, ideology, language policy, social justice, teaching and learning, and identity construction. In so doing, the book challenges the wider field to expand the borders of discussions on linguistic discrimination and higher education institutions to critically engage with these issues.This book will be of interest to scholars in applied linguistics, sociolinguistics and cultural studies.

This collection explores the ways in which women in academia from culturally and linguistically diverse backgrounds mediate the negotiation of linguistic discrimination and linguistic diversity in higher education, using autoethnography to make visible their lived experiences.The volume shows how women in academia from CaLD backgrounds, particularly those living or working in the Global South, draw on their multivalent complex linguistic backgrounds and cultural repertoires to cope with, and manage, linguistic and systemic gender discrimination. In adopting authoethnography as its key methodology, the book encourages these academics to ‘write themselves’ beyond the conventions from which women in academia have traditionally been forced to speak and write. The collection features perspectives from women across geographic contexts, sub-fields and levels of experience whose stories are not often told, putting at the fore their narratives, lived experiences and career trajectories in mediating issues around power, ideology, language policy, social justice, teaching and learning, and identity construction. In so doing, the book challenges the wider field to expand the borders of discussions on linguistic discrimination and higher education institutions to critically engage with these issues.This book will be of interest to scholars in applied linguistics, sociolinguistics and cultural studies.

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.

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.

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.

This book analyses parental anxieties about their children’s healthcare issues in urban China, engaging with wider theoretical debates about modernity, risk and anxiety.

This book analyses parental anxieties about their children’s healthcare issues in urban China, engaging with wider theoretical debates about modernity, risk and anxiety.

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.