{"id":866,"date":"2016-10-16T19:56:02","date_gmt":"2016-10-17T02:56:02","guid":{"rendered":"http:\/\/miriamposner.com\/classes\/dh101f16\/?p=866"},"modified":"2016-10-16T19:56:02","modified_gmt":"2016-10-17T02:56:02","slug":"control-panel-gender-breakdown","status":"publish","type":"post","link":"http:\/\/miriamposner.com\/classes\/dh101f16\/2016\/10\/16\/control-panel-gender-breakdown\/","title":{"rendered":"Control Panel: Gender Breakdown"},"content":{"rendered":"

The Gender Breakdown of City Workers by Department<\/a> dataset consists of information represented in integer and character values for an \u201canalysis of 2015 full-time employee earnings by gender across the various Departments of the City of Los Angeles\u201d. Recorded in this dataset are column values such as the year, department title, employee, total payroll #female, #male, %female, %male, female total salary, male total salary, female average salary, male average salary, etc. According to Wallack and Srinivasan in \u201cLocal-Global: Recovering Mismatched Ontologies in Development Information Systems\u201d, a dataset ontology represents reality, \u201cbut this representation of information may in turn become the basis for actions that shape reality\u201d. The authors note the heightened problematics this dynamic introduces when state\u2019s typically have more power to affect communities than the other way around through action based on state meta ontologies that are either inadequate or incomplete.<\/h2>\n

In the case of the Gender Breakdown Dataset, those who are likely using this data the most as an empirical representation of reality are social scientists, and policy makers and employers. While this dataset makes a good argument for the gender pay gap where \u201cwomen\u201d or \u201cfemales\u201d are paid substantially less than \u201cmen\u201d or \u201cmales\u201d across vocations in the year 2015, it is predicated upon the gender binary and does not necessarily account for individuals who have made gender transitions, potentially excluding an ontology that would include gender non-conforming or transgender individuals. When we talk about gender pay gaps, we should be talking about how differently the gender pay gap and the sexism at its root affects women from different races, classes, and citizenship status among other social categories in the workplace. Another absence might be that the dataset only includes statistics from 2015 limiting the ways we can read the current state of the gender pay gap in relationship to past years.<\/h2>\n

It should be noted, there is a tab in the dataset titled “discuss” which makes space for comments and discussion around the dataset, but which has not been used at all.\u00a0In\u201cLocal-Global\u201d, one way to mitigate the disparities between official portrayals and statistics about the gender pay gap and workers\u2019 understanding of that context (including that of everyday sexism in the workplace) would be to add a feature on the Control Panel dataset for Gender Breakdown that would explicitly request comments and updates from the people the data affects about how the data is portrayed and what might be missing. But making the raw data directly available to those it affects would be one way to go further.<\/h2>\n

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The Gender Breakdown of City Workers by Department dataset consists of information represented in integer and character values for an \u201canalysis of 2015 full-time employee earnings by gender across the … Continue reading “Control Panel: Gender Breakdown”<\/span><\/a><\/p>\n","protected":false},"author":77,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-866","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts\/866","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/users\/77"}],"replies":[{"embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/comments?post=866"}],"version-history":[{"count":0,"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts\/866\/revisions"}],"wp:attachment":[{"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/media?parent=866"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/categories?post=866"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/tags?post=866"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}