Adding diversity markers eg gender
Hi all,
I've made the decision to include diversity metrics to all papers, syllabuses, panels etc I'm involved with, as well as to my thesis. I'm wondering if anyone has found a way to add additional information to authors, eg gender, geographical region? I saw there have been discussions about institutional affiliations before, and am guessing this is not possible with Zotero at this time. Does anyone have any suggestions?
My ideal (fantasy!) result would be diversity data stored alongside authors in Zotero. Citations and references wouldn't include this data as per style (though maybe down the line...), but it would be possible to somehow generate a report which I would include in the paper.
I realise this is a huge ask, but it's an important one. I'm open to your amazing suggestions!
Thanks so much,
Laura
I've made the decision to include diversity metrics to all papers, syllabuses, panels etc I'm involved with, as well as to my thesis. I'm wondering if anyone has found a way to add additional information to authors, eg gender, geographical region? I saw there have been discussions about institutional affiliations before, and am guessing this is not possible with Zotero at this time. Does anyone have any suggestions?
My ideal (fantasy!) result would be diversity data stored alongside authors in Zotero. Citations and references wouldn't include this data as per style (though maybe down the line...), but it would be possible to somehow generate a report which I would include in the paper.
I realise this is a huge ask, but it's an important one. I'm open to your amazing suggestions!
Thanks so much,
Laura
You could also store some more coarse information in the Extra field. For example, you could indicate non-male first or senior authors for a paper like this:
Annote: ♀or ⚧
Those could even be included in citations by adding the `annote` variable to a style.
I was recently reviewing a book where the author used full names rather than initials in the references, and I thought that was a simple but great approach to rendering gender - and to an extent, ethnicity - more visible.