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	<title>Comments on: On the Data-Ideas dimension, there was virtually no sex difference</title>
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	<description>From the ancient Greek for equality in freedom of speech; an eclectic mix of thoughts, large and small</description>
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		<title>By: Graham</title>
		<link>https://www.isegoria.net/2020/02/on-the-data-ideas-dimension-there-was-virtually-no-sex-difference/comment-page-1/#comment-3049717</link>
		<dc:creator>Graham</dc:creator>
		<pubDate>Thu, 20 Feb 2020 14:54:51 +0000</pubDate>
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		<description><![CDATA[I&#039;m typically a fan of clever new ideas for spectra or grids, political of otherwise, for all that every one of them imposes a framework and excludes conceptual possibilities. I quite like this one. The people v things axis is familiar, but the pairing with data v ideas is new to me. It fits.

It allows a wide range of possibilities even to male and female archetypes, and even fits stereotypes.

By which I mean that it is actually unsurprising that there might be notable difference between men and women on people v things, but not on ideas v data, especially as shown here.

The artistic woman is an archetype so widely recognized as to hardly need exposition, even if it is sometimes realized as a flaky personality. The data-driven woman has also always existed, albeit recognized more in the 20th century when people started to think more in numerical terms. It becomes immediately obvious when framed as here, as Administration and sales or as Business Operations.

Think of the sheer numbers of women employed as &quot;computers&quot; on one scale or another. And not just in aerospace or other engineering enterprises- my mother&#039;s great pride was that when an office girl at a Scottish bus company she could manage columns of figures faster than anyone else. She stayed pretty good with numbers.]]></description>
		<content:encoded><![CDATA[<p>I&#8217;m typically a fan of clever new ideas for spectra or grids, political of otherwise, for all that every one of them imposes a framework and excludes conceptual possibilities. I quite like this one. The people v things axis is familiar, but the pairing with data v ideas is new to me. It fits.</p>
<p>It allows a wide range of possibilities even to male and female archetypes, and even fits stereotypes.</p>
<p>By which I mean that it is actually unsurprising that there might be notable difference between men and women on people v things, but not on ideas v data, especially as shown here.</p>
<p>The artistic woman is an archetype so widely recognized as to hardly need exposition, even if it is sometimes realized as a flaky personality. The data-driven woman has also always existed, albeit recognized more in the 20th century when people started to think more in numerical terms. It becomes immediately obvious when framed as here, as Administration and sales or as Business Operations.</p>
<p>Think of the sheer numbers of women employed as &#8220;computers&#8221; on one scale or another. And not just in aerospace or other engineering enterprises- my mother&#8217;s great pride was that when an office girl at a Scottish bus company she could manage columns of figures faster than anyone else. She stayed pretty good with numbers.</p>
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