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The four Implicit Association Tests (IATs) I took were Gender-Science, Gender-Career, Skin Tone, and Sexuality. My results varied heavily from one test to another; only once was I in the category of the majority test-takers from all collected data. Although I believe this is an exercise that could reveal hidden biases, I do not believe it correctly identified mine all of the time. That is not to say that the tests are set up in a horrible fashion or that I do not have hidden bias. However, my test results did not match up to my own thoughts, in part because of a “happy trigger” effect—accidentally pressing a “wrong” key after many words that associated with one category or after the categories were switched. From what has been discussed in class and from what society has taught me, there are more men in science. According to my results, I heavily associate men with science and women with liberal arts. I find this conclusion to be true because I’ve had my own experiences with these results. As a young student, my math and science classes were much more competitive and, as a female, I had to be better than not only the …show more content…
girls, but the boys in class if I wanted to be considered good at that subject. I was never taught that I couldn’t be a scientist or mathematician, though. Now I realize that the climb for success and society’s expectations of females do not go hand-in-hand. As for the Gender and Career results, I was on par with most other participants in which I had a moderate association of males with careers and females with the family.
Although I contribute some of this to a “happy trigger” effect, there is no doubt that society puts pressure on men to have a career and women to balance both a family and career. In a course about women in science, these results might explain why women aren’t as accepted in science, why women don’t move toward the scientific field, and, therefore, it explains why it’s a male dominated field. If women are socialized to focus on both or only a family their entire lives, it’s more likely to move them away from a scientific career. It’s vital to examine women’s forced choice out of a career in order to take care of a family due to feelings of inadequacy, gender roles, guilt, and
more. The IAT project is important because people can learn their hidden biases, which are often the underlying factors of micro-aggressions and other prejudices and discrimination. If people don’t recognize their weaknesses, especially in a Women in Science class, then open discussions cannot be hosted. Moreover, there is no way to make progress in society if people do not openly admit and accept they have hidden biases that can be harmful to others.
At what point does work life start interfering with family life to an extent that it becomes unacceptable? Is it when you don’t get to spend as much time with your family as you would like, or is it the point where you barely get to see your family due to long hours at work? Is it even possible to balance work with family life? Anne-Marie Slaughter, the author of “Why Women Still Can’t Have It All”, believes this balance is impossible to achieve in this day and age. In contrast, Richard Dorment, the author of “Why Men Still Can’t Have It All”, believes that there will never be a day when someone will have it all, certain sacrifices will always have to be made. Both of these articles are similar in the respect that they both examine balancing a demanding career with raising children. The two authors’ views on the subject differ greatly, especially regarding how gender roles have a significant impact on our society.
The Project Implicit, Harvard Education is a non-profit organization that seeks to collect data on an individual’s subconscious chooses. The test that I took was the Race IAT (Implicit Association Test), which measures and shows an individual’s implicit belief and attitudes that one may not be unwilling to admit that they have (Teachman, Nock, 2011). So, this test was an attempt to see if I have biases that I do not really know about. This is interesting and scary at the same time. To have someone basically interpret your thoughts through a series of unrelated responses.
The first Implicit Association Test (IAT) that I took was whether I had a preference for Young people compared to Old people. I chose this IAT because I initially thought that I would have no preference for Young or Old people. Though, I knew I would have some mistakes, I still expected my results to have an equal preference for both young or old people. In addition, this IAT used four categories. The first two categories were images of either a Young or and Old face and the other two categories were the words good or bad. The good or bad categories has at least five words listed.
College degrees, jobs, and income stream are all quantifiable items, however, a gauge on work-life balance, parenting abilities, and dedication at home cannot be measured by a number. In the past, men have been viewed as the backbone of the family. The typical day consists of getting up the earliest, going to work, coming home late at night, maybe missing out on trivial matters, but ultimately paying the bills. As time progresses, roles in households have shifted significantly. Now more than ever women are extremely active in the workforce, local communities, and politics. The obstacles faced by men and women are inherently different, but men seem to fall under an intensified microscope when it comes to intertwining family life with a career. Richard Dorment dives deep into these issues in his piece, "Why Men Still Can't Have It All." Although the argument may seem bias in favoring the rigorous lifestyle of men, the
Taking an Implicit association test may not be something that we would want to base any serious decisions off of; it is a useful tool in being able to learn about ourselves better. By being made aware that we may unconsciously hold views that we are not proud of, we can inoculate ourselves and make a personal change for the better.
an implicit association test (IAT) measures the attitudes of the cognitive functions which determine judgment. The Implicit Association Test (Race) measures word associations between groups of people of certain race or ethnicity (e.g., European-American, African American) and the concepts of “good” and “bad”. The speed and ease with which an association is made is measured and taken as confirmation for an implicit bias or attitude or belief held for that social group. The IAT will help uncover any hidden prejudice and bring it to the forefront of consciousness to which children can become aware of their biases and possibly through cultural exposure be able to exhibit cultural acceptance (Benaji, M & Greenwald, 2013).
In the articles “Implicit racial bias often begins as early as preschool, a study finds” and “Research suggests the gender gap in math starts as early as kindergarten”. The central idea in the two articles are that girls and black students are treated unfairly. There are similarities and in how they develop the idea of how some students are discriminated against. However there are many differences in how they develop the central idea. There are studies that back up both accusations of black students and girls being treated differently in the classroom.
Most Americans would say women are still being oppressed, even if inadvertently, by society’s current structure. Women are typically paid less, put under more pressure to have a career and a family, and are often underrepresented in high profile career fields. Anne-Marie Slaughter would agree. In her essay, “Why Women Still Can’t Have It All”, she outlines the ways women are still unable to have a career and family life successfully. She especially focuses on the ways women are constantly being pressure to choose one over the other, or to try to accomplish both, and how much damage this pressure can cause. She writes, “I had been the one telling young women at my lectures that you can have it all, and do it all, regardless of what field you’re in. Which means, I had been in part, albeit unwillingly, of making millions of women feel they are to blame if they cannot manage to rise up the ladder as fast as men and, also have a family and an active home life.” (679). This passage captures the amount of pressure put on young women to commit 100% to their families and their careers simultaneously. Unfortunately, as she also points out, there will be criticism for choosing one over the other as well. Ellen Ullman also understands the pressure on women in their career fields. Her essay, How To Be A Woman Programmer, explores the difficulties for women in a male dominated field.
The United Kingdom did a survey in 2003 where the objective was to identify gender issues in the academic performances of boys and girls during classroom laboratories. This study was done on adolescent children that explored the idea of what would be said about girls and boys who stated that they did or did not like science. The conclusion was predicted with the group of imaginary girls and boys. That is participants were to mark traits of girls and boys in their class that they did not know. Girls who liked science were found less feminine than girls who disliked science (Breakwell, Glynis; Robertson, Toby. 449). Oddly enough girls and boys who scored themselves did not give ratings that girls that liked science were considered less feminine. However, boys rated boys who disliked science more feminine. It appears that boys are pres...
Implicit attitudes are positive and negative assessments that occur outside of one’s conscious cognizance and controls. The affirmative or adverse views, feelings, or actions towards individuals ...
Pollack, Eileen. “Why Are There Still So Few Women in Science?” The New York Times. The New York Times, 05 Oct. 2013. Web. 05 Mar. 2014.
A stereotype is defined as “an often unfair and untrue belief that many people have about [an entire group of] people or things with a particular characteristic” (stereotype, n.d.). While not all stereotypes are necessarily negative, the word “stereotype” itself has a negative connotation that it has earned over the course of human history. Stereotyping has been a mental phenomenon that has intrigued psychologists and others alike for many years. There have been questions to whether or not it is an automatic response or a controlled cognitive belief. More specifically, this study addresses the question if a person’s perception of another person or subject influences the automaticity of stereotyping. This is an important subject because it approaches the issue of whether we as humans can control our immediate, initial thoughts, positive or negative, about a person or thing; which ultimately determines our attitude toward the individual or thing, which effects our behavior.
STEM is best known as science, technology, engineering, and mathematics. STEM for many years has been primarily seen as and stereotyped into a masculine work field. But as of recent years, while it expands, more and more women have been rising in these fields. However, there is still a tremendous gender gap between men and women in these fields and areas of work. The gender gap between men and women in STEM is alive and well. There is no denying that the gender gap between men and women in STEM is immense. But there instead are many sufficient reasons as to why there is such a huge gap between men and women within in fields. Some probable causes for the lack of women seen in these areas are biased towards women, unconscious bias girls receive
In many cases, women’s achievements are measured according to male oriented standards. I would like to argue with a more diverse approach to this cause. If humanity is comprised of both men and women, and we are equally dependent on each other for humanity’s survival, why are men and women not viewed as equals? These old attitudes are drilled into us from birth. If boys were taught mutual respect as they grew up, gender equality becomes a natural way of life. In the same way girls would need to be taught to set high goals; that they can reach as high as humanly possible. Unfortunately, typically male values and traditions have, over time, shaped the culture in Science, Engineering and Technology (SET) fields. This has created, in many ways, a hostile learning and working environment for women. From time immemorial, women have been regarde...
The roles women typically play in the family may not always be consistent with success in the occupational arena. Staying home to care for a sick child may conflict with an important meeting (Broman 1991:511). Sometimes there has to be a change of plans when it comes to the family. Most people believe that family comes first no matter what. Men 's engagement in paid work fulfills prescriptions of hegemonic masculinity by facilitating their ability to gain status in the public sphere. A man can judge his worth by the size of a paycheck (Thebaud 2010:335). Most research shows that women are more likely to be effected by the household and men are more likely to be effected by their job. Some people feel that the goal is to reach higher on the occupational