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More Than Binary: PyCon 2016 Inclusive Gender Collection and You

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Anne DeCusatis Core Engineer, Meetup Co-founder, MergeSort she/her @precisememory #inclusivegender

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1. Why gender matters 2. How people are being inclusive now 3. Gender Amender

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What is gender?

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None of this is gender

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How you feel and how you want to be perceived What is gender?

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Why talk about gender at a tech conference?

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with permission from @yaoxiaoart, www.yao.nyc,

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??%

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??% impact

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“It’s an edge case a stress case. Sara Wachter-Boettcher

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“Before we talk about what ‘doing it right’ looks like, first we have to talk about why we ask about gender. Practice Makes Progress

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Demo of Gender Amender http://anne.loves.technology/genderamender/ examples/simple.html

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Gender Amender’s data source "genderfluid": 3, "genderless": 3, "genderqueer": 3, "intersex": 0, "m to f": 1, "male": 2, "male to female": 1, "man": 2, "neither": 3, "neutrois": 3, "nonbinary": 3, "none": 3, "other": 3, "pangender": 3, "person": 0, "polygender": 3, "prefer not to say": -1, {"?": 3, "agender": 3, "androgyne": 0, "androgynous": 0, "bigender": 3, "cis": 0, "cisgender": 0, "decline to provide": -1, "f to m": 2, "female": 1, "female to male": 2, "femme": 1, "gender nonconforming": 3, "gender questioning": 3, "gender variant": 3, "queer": 0, "questioning": 3, "trans": 0, "trans*": 0, "transfeminine": 1, "transgender": 0, "transmasculine": 2, "transsexual": 0, "two spirit": 3, "woman": 1 } DECLINE = -1, NONGENDERED = 0, FEMALE = 1, MALE = 2, NONBINARY = 3

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Gender Amender’s data source "genderfluid": 3, "genderless": 3, "genderqueer": 3, "intersex": 0, "m to f": 1, "male": 2, "male to female": 1, "man": 2, "neither": 3, "neutrois": 3, "nonbinary": 3, "none": 3, "other": 3, "pangender": 3, "person": 0, "polygender": 3, "prefer not to say": -1, {"?": 3, "agender": 3, "androgyne": 0, "androgynous": 0, "bigender": 3, "cis": 0, "cisgender": 0, "decline to provide": -1, "f to m": 2, "female": 1, "female to male": 2, "femme": 1, "gender nonconforming": 3, "gender questioning": 3, "gender variant": 3, "queer": 0, "questioning": 3, "trans": 0, "trans*": 0, "transfeminine": 1, "transgender": 0, "transmasculine": 2, "transsexual": 0, "two spirit": 3, "woman": 1 } DECLINE = -1, NONGENDERED = 0, FEMALE = 1, MALE = 2, NONBINARY = 3

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Gender Amender’s data source "genderfluid": 3, "genderless": 3, "genderqueer": 3, "intersex": 0, "m to f": 1, "male": 2, "male to female": 1, "man": 2, "neither": 3, "neutrois": 3, "nonbinary": 3, "none": 3, "other": 3, "pangender": 3, "person": 0, "polygender": 3, "prefer not to say": -1, {"?": 3, "agender": 3, "androgyne": 0, "androgynous": 0, "bigender": 3, "cis": 0, "cisgender": 0, "decline to provide": -1, "f to m": 2, "female": 1, "female to male": 2, "femme": 1, "gender nonconforming": 3, "gender questioning": 3, "gender variant": 3, "queer": 0, "questioning": 3, "trans": 0, "trans*": 0, "transfeminine": 1, "transgender": 0, "transmasculine": 2, "transsexual": 0, "two spirit": 3, "woman": 1 } DECLINE = -1, NONGENDERED = 0, FEMALE = 1, MALE = 2, NONBINARY = 3

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Gender Amender’s data source "genderfluid": 3, "genderless": 3, "genderqueer": 3, "intersex": 0, "m to f": 1, "male": 2, "male to female": 1, "man": 2, "neither": 3, "neutrois": 3, "nonbinary": 3, "none": 3, "other": 3, "pangender": 3, "person": 0, "polygender": 3, "prefer not to say": -1, {"?": 3, "agender": 3, "androgyne": 0, "androgynous": 0, "bigender": 3, "cis": 0, "cisgender": 0, "decline to provide": -1, "f to m": 2, "female": 1, "female to male": 2, "femme": 1, "gender nonconforming": 3, "gender questioning": 3, "gender variant": 3, "queer": 0, "questioning": 3, "trans": 0, "trans*": 0, "transfeminine": 1, "transgender": 0, "transmasculine": 2, "transsexual": 0, "two spirit": 3, "woman": 1 } DECLINE = -1, NONGENDERED = 0, FEMALE = 1, MALE = 2, NONBINARY = 3

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The Python parts - alphabetization via https://github.com/anne-decusatis/genderamender/blob/master/alphabetize.py

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The Python parts - “rendering”

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if not chosen_numbers: return RENDERED_GENDERS.UNSURE if POTENTIAL_INPUTS.DECLINE in chosen_numbers: return RENDERED_GENDERS.DECLINE

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if female_words and not male_words and not nb_words: return RENDERED_GENDERS.FEMALE elif male_words and not female_words and not nb_words: return RENDERED_GENDERS.MALE elif nb_words and not male_words and not female_words: return RENDERED_GENDERS.NONBINARY else: return RENDERED_GENDERS.UNSURE

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What Gender Amender is not for ● legal compliance ● medical history ● asynchronous response ● No/slow JavaScript ○ see http://www.yaygender.net/pages/gender.pl for an example of how this could work

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How can you help? ● Translations to non-English languages ● More gender identity words in English ● More examples/cleaner code for examples ● Things I don’t know I need yet

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Meetup

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Acknowledgements http://anne.loves.technology/blog/ http://making.meetup.com

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Thank you @precisememory https://github.com/anne-decusatis/genderamender For longer conversations: anne@meetup.com