Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
This edited volume provides an overview of inequality and stratification in contemporary China. A rare and timely resource, it presents key research on the topic published in Chinese Sociological Review from 2011 to 2023, using one or multiple waves of Chinese General Social Survey (CGSS) data, reflecting the advancement of the field over the past decade.
The CGSS, launched in 2003 and modelled after the US General Social Survey, is an annual or biennial cross-sectional survey of a nationally representative sample of the population from all provinces except for Tibet. Certain waves of CGSS data (e.g., 2003 and 2008) contain detailed retrospective information about education and job history, which can be analysed to address various issues related to educational stratification and career mobility in both the pre-reform and reform eras. At the junction of the 20th anniversary of the CGSS (2003-2023), this volume draws on CGSS data to uncover dynamic and evolving inequality in China by examining topics such as education stratification, income inequality, career and intergeneration mobility, and how they are shaped by the socialist/post-socialist institutional structure such as the household registration (hukou) system, the work unit (danwei) system. This collection significantly advances the understanding of Chinese social stratification, extending far beyond scholars’ initial interests in the social consequences of the market transition.
This volume invites social scientists to think more deeply about how politics and economics interplay with other social and demographic trends in shaping the pattern of inequality and provides a rich source and foundation for understanding inequality dynamics in contemporary China.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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