According to the reading Chapter 6 on An Introduction to Gender in Social Institutions, it focuses on gender in our social institutions. Gender is immersed so thoroughly in our institutions, our actions, our beliefs and our desires which appears to us to be completely natural. In Addition, the ideas about gender are so ordinary that we take for granted. For example, gender is not something we are born with, and not something we have, but something we do. Gender builds on biological sex, but it exaggerates biological difference, and it carries biological difference into domains in which it is completely irrelevant. There is no biological reason, for example, why women should mince, and men should swagger, or why women should have red toenails and men should not. Lastly, schools, religion and economy around the world plays a bigger role in social institutions.
In the second article Microaggressions in Everyday Life,is often described as a commonplace daily verbal, behavioral, or environmental indignity, whether unintentional or unintentional, that communicates a hostile, derogatory, negative, or racial slight towards someone. These microaggressions happen daily and can even go unnoticed sometimes. For example, in the present day, women make a quarter less than every man. Women face inequality with men and pay grade almost in every race. In addition, women are constantly trying to catch up or mimic the professional white man to get equal pay. From the feminine pant suit to low haircuts, women can’t seem to level on the barometer of excellence. Another example, In the sports world, more male athletes are booked for endorsements than the darker female. Serena Williams has been surpassing her white counterparts but still being paid less.
To conclude, we as a human were not born to be racist nor sexist, however there’s different elements and institutions. For example, gender plays a strong role in our society and hurts women across the world. Too often it is assumed that this gap is not evidence of discrimination but is instead a statistical artifact of failing to adjust for factors that could drive earnings differences between men and women. However, these factors are particularly occupational differences between women and men which lead themselves to be affected by gender bias.
