‘Marginalizing’ health: employing an equity and intersectionality frame

Intersectionality, Inequality and Maternal Health

Incorporating intersectionality into psychology: An opportunity to promote social justice and equity.

Intersectionality is receiving increasing attention in many fields, including psychology. This theory or framework has its roots in the work of Black feminist scholar-activists, and it focuses on interlocking systems of oppression and the need to work toward structural-level changes to promote social justice and equity. Thus, the current interest in intersectionality in psychology presents an o...

“Intersectionality” in Asian American Women’s Health

According to the U.S. Census, Asian Americans are the most quickly increasing population in the United States (U.S. Census Bureau, 2011). It is expected that Asian Americans will grow from 5.14 percent of the total U.S. population in 2012 to 7.8 percent in 2050 (U.S. Census Bureau, n.d.). Also, Asian Americans are known to be the ethnic group with the highest income and best education in the Un...

An intersectionality-based policy analysis framework: critical reflections on a methodology for advancing equity

INTRODUCTION In the field of health, numerous frameworks have emerged that advance understandings of the differential impacts of health policies to produce inclusive and socially just health outcomes. In this paper, we present the development of an important contribution to these efforts - an Intersectionality-Based Policy Analysis (IBPA) Framework. METHODS Developed over the course of two ye...

Marginalizing Corrupted Features

The goal of machine learning is to develop predictors that generalize well to test data. Ideally, this is achieved by training on an almost infinitely large training data set that captures all variations in the data distribution. In practical learning settings, however, we do not have infinite data and our predictors may overfit. Overfitting may be combatted, for example, by adding a regularize...