Addressing tokenism

This question came from the Ask a Geek Feminist post, which is still taking your questions.

How do you determine if a person has been invited to participate (conference speaker, lead a workshop, blog, etc.) as a token of diversity rather than on their merits?

And, if it is tokenism, what would you do?

I’m going to talk about being a token woman in this post, because that’s what I feel familiar with, hopefully commenters can share their thoughts on being a token representative of other (or multiple) groups.

First, a wee bit of 101. The response to this kind of discussion is sometimes: “Wait, you want more women. But we shouldn’t be selecting women just because they’re women. Feminism is hard, eleventy one 1!11!!1 I quit!”

Yeah, feminism is hard. That’s why we’re still here and frankly expect to be for a long time. Yes, we’d advocate that you have women taking prominent roles in your geekdom in similar proportions to their participation. And this may be a hard thing to do: much harder than having a criteria for a single event that says “at least three women speakers, please, this year for sure.” Likewise for diversity in general. You do this the hard way: organically. You should be striving for diversity everywhere, not just in venues where people are likely to notice and criticise your lack of diversity. You shouldn’t be having to select a woman speaker just because she’s a woman: if there are women in your geekdom at all, there should be women in your candidate pool and then you select some of them as part of your usual process.

Of course, that means keeping in mind that it’s harder to select women even when you have access to women candidates, because essentially everyone (so, me, you) has a set of biases about women that influence how we see individual women. Try and consciously correct for these biases. As an example: she seems inexperienced as an speaker. But on the other hand, we regularly select men on no more evidence than the fact that they asked, don’t we? Are we applying the same standards to women?

As regards bias, once you have your selection pool, at the time of selection, there are various approaches. Blinding the selection process is very effective: if you can hide names, appearances, and everything else that you can aside from the person’s proposal or skill, this is something of the gold standard approach. This is famously true for orchestral auditions. Otherwise, all you can do is try and be very conscious about your choices and remember that you have inherited biases towards privileged groups, and towards people like yourself, from your surroundings.

On to the question itself: someone appears to be a token women. What to do about it?

This is complicated precisely because tokenism isn’t a binary thing, token or not-a-token. When in a sufficient numerical minority particularly, as women are in a lot of geekdoms, I think it’s unlikely that no attention at all was paid to a woman’s gender and its effect on gender balance and diversity when she was selected for a role. It might have come up explicitly in the selection, it might have occurred to individuals privately, it might have influenced them subconsciously, but to some extent she was likely chosen as partly “the person who can best do this task” and partly as “a woman”.

I think there are some indicative but not definitive signs of problematic tokenisation. They include:

  • being the only woman selected among many men;
  • being part of a repeating pattern in which a single woman or the same number of women are selected time after time (eg, a few too many tech conferences currently seem to have a pattern of having exactly one woman selected to give one of the keynotes year after year); and
  • being selected to represent the female side of however the local gender binary fractal divides the space, especially where this is a repeated pattern.

The question doesn’t specify about what to do if you think you yourself are a token, or if you think someone else is. I’ll answer the easier part first: if you think someone else is.

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