Quote (Handcuffs @ Jun 29 2016 11:24pm)
To this, I would say like I said before that affirmative action is an auxiliary tool as part of a larger goal surrounding social change, and is therefore not the solution in and of itself. It merely is a tool that helps toward that aforementioned goal, but is also not the end-game. It does so by allowing for conscientious efforts for diversity and moving past historical social barriers, at least to some degree. For instance, seeing more women in STEM fields helps attack the stereotype that "girls are bad at math" and that STEM fields aren't for women, and they'll also inspire young girls to follow in their footsteps, since such a big part of influence and inspiration is seeing people similar to you going out and doing X, Y, and Z. The idea though is see affirmative action go away eventually, but only once that larger social change has actualized.
I also don't know how prolific it is, the experience where lesser-qualified women are given jobs and opportunities over more-qualified men. Not to say that that doesn't happen or has never happened, but I would venture to guess that that experience is overstated in occurrence rather than understated.
As for data, I'm not entirely sure which claims you're asking for data on, since my perception of this conversations leaves me feeling that we're discussing mostly theoretical personal considerations of affirmative action rather than talking about things that involve statistics/data. If there are specific claims you have in mind, I'd be more than happy to either clarify them or try to provide relevant data though.
This "girls are bad at math" would only be reinforced by affirmative action. Girls that are as good as boys at STEM can currently be as successful as boys at STEM, giving them an unfair advantage would imply they aren't as good. If I knew someone I looked up to only got into the field because of affirmative action I would lose a lot of respect for that person, personally. Will little girls look at inflated affirmative action statistics as role models or women like Marie Curie who were top of their class through handwork and dedication and made groundbreaking discoveries her in respective fields?
With this system of affirmative action the only other thing that could happen would be the male and female in question have literally the exact same qualifications. This scenario seems less likely than affirmative action supporting a lesser qualified over a qualified based on gender.
The data I am interested in is affirmative action having a strong role it "gender expectations, roles and stereotypes" in a positive manner enough to justify the prejudice. I am just curious if this idea is induced by data
Quote (Handcuffs @ Jun 29 2016 11:45pm)
I don't think there's a great deal of evidence to demonstrate that there's some strong, compelling biological reason(s) that necessarily translates to differences between men and women when it comes to areas of interest. .
I think it can be easily argued through evolutionary biology that women are more likely to be interested in child care than men.
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It seems to me that if one were to say that there is a strong, compelling biological reason(s) as to why the areas of interest differ between women and men, that to a certain extent we would also be sayingthat there are certain things/areas that either women or men are inherently predisposed to and better at than one another.
This is easily shown in any sport or things that require strength like weightlifting/power lifting
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as many people talk about women being awarded custody over men simply because there's a bias towards women with respect to child rearing.
Inconsistency on one's stance doesn't change how truth works. If women are biologically better than men then in most cases they should get custody except in cases where the woman is demonstrably worse than the male.
This post was edited by majorblood on Jun 30 2016 02:40am