September 2011
Intermediate to advanced
612 pages
15h 48m
Japanese
Content preview from Making Software ―エビデンスが変えるソフトウェア開発
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210
13
章 コンピュータサイエンスに女性が増えない理由
あります［
American Association of University Woman 2000
］、［
Margolis et al. 2000
］。
本章では、この
3
つの立場それぞれに関連する研究を再考し、それぞれの議論に筋が通っているか、
たどってみたいと思います。
なぜそんなに女性が少ないか
?
最初に、前記の状況についての一般的な説明と、それらを研究対象としたフォーマルな研究について
レビューします。
能力の欠如、好み、文化的偏見
科学、技術、工学、数学（
STEM
―
Science, Technology, Engineering Mathematics
）分野の女性
が少数であることの理由を、生まれながらの能力の違い、好み、文化的偏見に帰することについて、多
くの研究がなされています。
Ceci
、
Williams
、
Barnett
は、それらのすべてがどう相互に作用し合って
いるかを理解するためのフレームワーク
を開発しました［
Ceci et al. 2009
］。次に、私たちは
3
つそれ
ぞれの要因について検討し、それらを
Ceci
等の統合的なフレームワークにあてはめてみます。その結
果である図
13-1
を見ていただければ、この問題に寄与している多数の要因群が、複雑に干渉し合って
いることがお分かりいただけるはずです。生物学的要因に根ざしたジェンダー（社会的性差）の作用も
あることは確かですが、研究の結果からはジェンダーに基づく有害なバイアスも疑われ、そこからさら ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.