Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Understanding China’S Discourse On South-South Cooperation And China-Africa Higher Education Exchange: A Field Research Study At Zhejiang Normal University’S China-Africa International Business School, Yi Sun Oct 2019

Understanding China’S Discourse On South-South Cooperation And China-Africa Higher Education Exchange: A Field Research Study At Zhejiang Normal University’S China-Africa International Business School, Yi Sun

Doctoral Dissertations

This dissertation research attempts to distinguish China’s model from that of the traditional North-South relationship, with a focus on how China’s philosophy articulates its foreign policy and the nation’s higher education engagement with African countries. It examines the China-Africa higher education partnership in response to China’s discourse on South-South Cooperation (SSC), Africa’s human resource flows, and the benefits and constraints of current China-Africa cooperation. In order to achieve these goals, the dissertation uses one of the China-Africa partnership universities in China, Zhejiang Normal University (ZJNU) as a site for its field research. The fieldwork looks at both a student level …


Allocative Poisson Factorization For Computational Social Science, Aaron Schein Jul 2019

Allocative Poisson Factorization For Computational Social Science, Aaron Schein

Doctoral Dissertations

Social science data often comes in the form of high-dimensional discrete data such as categorical survey responses, social interaction records, or text. These data sets exhibit high degrees of sparsity, missingness, overdispersion, and burstiness, all of which present challenges to traditional statistical modeling techniques. The framework of Poisson factorization (PF) has emerged in recent years as a natural way to model high-dimensional discrete data sets. This framework assumes that each observed count in a data set is a Poisson random variable $y ~ Pois(\mu)$ whose rate parameter $\mu$ is a function of shared model parameters. This thesis examines a specific …