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    <description>recent bookmarks from amy</description>
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  </channel><item rdf:about="https://www.vanityfair.com/style/2023/09/jann-wenner-rolling-stone-joe-hagan">
    <title>Jann Wenner’s Biographer: “He Revealed the Ugly Truth of Rolling Stone” | Vanity Fair</title>
    <dc:date>2023-09-29T14:07:26+00:00</dc:date>
    <link>https://www.vanityfair.com/style/2023/09/jann-wenner-rolling-stone-joe-hagan</link>
    <dc:creator>amy</dc:creator><dc:subject>music race gender</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:ecfc3555f0f2/</dc:identifier>
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<item rdf:about="https://cacm.acm.org/magazines/2022/3/258909-the-pushback-effects-of-race-ethnicity-gender-and-age-in-code-review/fulltext#comments">
    <title>The Pushback Effects of Race, Ethnicity, Gender, and Age in Code Review | March 2022 | Communications of the ACM</title>
    <dc:date>2022-04-19T14:52:43+00:00</dc:date>
    <link>https://cacm.acm.org/magazines/2022/3/258909-the-pushback-effects-of-race-ethnicity-gender-and-age-in-code-review/fulltext#comments</link>
    <dc:creator>amy</dc:creator><description><![CDATA[A core activity of software engineers at many companies is code review, where one or more engineers provide feedback on another engineer's code to ensure software quality and spread technical knowledge.1 Beyond software companies, code review has long been practiced in open source software engineering and is emerging as an important practice for scientists.2 Code review is fundamentally a decision-making process, where reviewers must decide if and when a code change is acceptable; thus, code review is susceptible to human biases. Indeed, prior research on open source projects suggests that some code reviews authored by women are more likely to be rejected than those authored by men.16

This article provides confirmational evidence that some demographic groups face more code review push-back than others. There is no published research that has studied such differences in a corporate setting.]]></description>
<dc:subject>arghh gender computing race</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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    <title>Behind the Franzenfreude - The Awl</title>
    <dc:date>2010-08-28T15:39:33+00:00</dc:date>
    <link>http://www.theawl.com/2010/08/behind-the-franzenfreude</link>
    <dc:creator>amy</dc:creator><dc:subject>books gender race culture</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:a46b6816821c/</dc:identifier>
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    <title>Creating Change for Underrepresented Minorities in Technology:  Latinas in Computing | Advancing Women in Technology | Fast Company</title>
    <dc:date>2009-07-15T15:24:00+00:00</dc:date>
    <link>http://www.fastcompany.com/blog/caroline-simard/advancing-women-technology/creating-change-underrepresented-minorities-technolo</link>
    <dc:creator>amy</dc:creator><dc:subject>gender computing race</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:bcd0ee7660c2/</dc:identifier>
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    <title>AlterNet: Becoming a Black Man</title>
    <dc:date>2008-02-12T15:41:22+00:00</dc:date>
    <link>http://www.alternet.org/module/printversion/76384</link>
    <dc:creator>amy</dc:creator><description><![CDATA[interesting article on a black transgender man]]></description>
<dc:subject>gender race society</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:e62fecc4f721/</dc:identifier>
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    <title>Mixing Memory : Combating Stereotype Threat in the Wild</title>
    <dc:date>2008-01-29T20:04:22+00:00</dc:date>
    <link>http://scienceblogs.com/mixingmemory/2007/12/combating_stereotype_threat_in.php</link>
    <dc:creator>amy</dc:creator><dc:subject>cognition culture gender society race</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:bdb504c1ab1c/</dc:identifier>
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    <title>Women Aren't Good in Math . . . or Are They?</title>
    <dc:date>2006-09-01T02:38:12+00:00</dc:date>
    <link>http://www.washingtonpost.com/wp-dyn/content/article/2006/08/30/AR2006083002858.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Women score much lower on math tests if they are first asked questions about gender issues. The phenomenon is "stereotype threat"... psychologists found that black students  did worse on intelligence tests if they were first asked to identify their race.]]></description>
<dc:subject>gender culture race math</dc:subject>
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