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<html>
<head><meta http-equiv="Content-Type" content="text/html; charset=utf-8">
<title></title>
<style type="text/css">#container {
font-family: Arial, Helvetica, sans-serif;
font-weight: normal;
width: 810px;
margin: 0 auto;
}
#h4 {
font-size: 16px;
font-weight: bold;
{
box-sizing: border-box;
}
.column {
float: left;
width: 50%;
padding: 10px;
height: 300px;
}
.row:after {
content: "";
display: table;
clear: both;
}
</style>
</head>
<body>
<p style="font-size: 20px; font-weight: bold; clear: both;">About</p>
<p>“Reading for Gender Bias” is a web-based text analysis tool that scans and reveals language bias associated with evaluations and letters of recommendation written for trainees and applicants. It provides a summary of feedback to authors on how they can remove bias from their letters. A friend described it as “auto-correct for gender bias.” The goal is to start with a gender bias tool and then expand to other types of bias.</p>
<p>Check out the research that inspired this project <a href="http://www.biascorrect.com/research.htm">here</a>.</p>
<p>If you'd like to learn more, check out our <a href="https://github.com/molliem/gender-bias">GitHub repo</a>.</p>
<p></p>
<table align="left" border="0" cellpadding="1" cellspacing="1" style="width:1400px;">
<tbody>
<tr>
<td style="width: 700px; vertical-align:top">
<h3><strong>How to use it</strong></h3>
<p>Paste the text from your evaluation or letter of recommendation in the box below. <br />
(Here's a <a href="http://www.biascorrect.com/mockup.htm">mock-up design</a> for the site)</p>
<p><textarea cols="100" name="textbox" rows="30"></textarea></p>
<p><input name="submit" type="submit" value="submit" /></p>
<p></p>
</td>
<td style="width: 700px; vertical-align:top">
<h3>Summary</h3>
<p>Consider adding or changing . . . </p>
<ul>
<li>Result text will go here</li>
</ul>
</td>
</tr>
</tbody>
</table>
</body>
</html>