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Anti-Oppression 101

Anti-Oppression 101

Given at Steel City Ruby Conference 2012 with Lindsey Bieda.

Steve Klabnik

August 03, 2012
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  1. Anti-oppression
    101
    Lindsey Bieda Steve Klabnik
    @lindseybieda @steveklabnik
    rarlindseysmash.com steveklabnik.com
    Friday, August 3, 12

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  2. a computer language
    that's targeted to a
    particular kind of
    problem.
    DSL
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  3. Friday, August 3, 12

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  4. Friday, August 3, 12

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  5. Social Justice
    a DSL for discussing
    equality in social relations
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  6. Q: What’s the worst
    thing you can call a
    white male?
    A:
    Privileged.
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  7. Privilege
    is how society accommodates you. It's
    about advantages you have that you
    think are normal. It's about you being
    normal, and others being the deviation
    from normal.
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  8. The privileged and
    the un-privileged live
    on the same planet,
    but in two different
    worlds.
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  9. The invisible
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  10. Privilege is
    hard to notice.
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  11. Axes of Identity
    • Gender
    • Sexuality
    • Race
    • Class
    • Ability
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  12. Intersectionality
    how various biological, social
    and cultural categories interact
    on multiple and often
    simultaneous levels,
    contributing to systematic social
    inequality.
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  13. {Rac, Sex}ism
    Discrimination
    + Power
    Oppression
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  14. Imposter Syndrome
    When people are unable to
    internalize their achievements.
    Despite evidence of competence
    they believe they are frauds and
    undeserving of accomplishments.
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  15. A wild
    example
    appears.
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  16. Stereotype Threat
    The experience of anxiety
    in a situation where a person
    has the potential to confirm a
    negative stereotype about
    their social group.
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  17. I can’t be sexist,
    I love women!
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  18. This stuff is hard.
    Apologize honestly
    when you get it
    wrong.
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  19. microaggression
    demeaning
    implications and
    other subtle insults
    against minorities.
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  20. When someone
    else gets it wrong.
    Let them know.
    Frown power
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  21. Male gaze
    when the audience
    is put into the
    perspective of a
    heterosexual male.
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  22. It's such a transformative field for society
    as a whole. And without the involvement of a
    diverse group of people, the results of what
    we do are not going to be appealing or useful
    to all aspects of our society. A piece of our
    challenge is to make computing, and all that
    it enables, accessible to everyone. That's an
    ideal.
    - Frances E Allen
    first female recipient of the Turing Award

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  23. What we create is
    colored by who
    we are.
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  24. I don’t belong here.
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  25. Rate of
    Attrition
    41% of women
    17% of men
    Quit their careers at tech
    companies after 10 years
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  26. Simply reducing female
    attrition in STEM by 25%
    would add 220,000 people
    to the talent pool.
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  27. You cannot hope to build a better world
    without improving the individuals. To that
    end each of us must work for his own
    improvement, and at the same time share a
    general responsibility for all humanity, our
    particular duty being to aid those to whom
    we think we can be most useful.
    - Marie Curie
    First female professor at the University of Paris

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  28. We need to
    do better.
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  29. encourage
    others to embrace any
    interest in computing
    they may have.
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  30. contribute
    to projects that help
    learners.
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  31. mentor
    those who need help
    getting started.
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  32. Eliminate
    bias and stereotyping
    as much as possible.
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  33. create
    a culture that makes
    people want to stay.
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  34. girldevelopitpgh.com
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  35. Thanks!
    Lindsey Bieda Steve Klabnik
    @lindseybieda @steveklabnik
    rarlindseysmash.com steveklabnik.com
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  36. Sources
    1. American Institute of Physics: Physics Trends percent of degrees
    awarded to women by field
    2. CNN Money: Silicon Valley fights to keep its diversity data secret
    3. The Invisible Gorilla
    4. Stereotype Threat and Women’s Math Performance
    5. Signaling Threat: How Situational Cues Affect Women in Math,
    Science, and Engineering Settings
    6. AAUW: Why so few?
    7. Fast Company: Can Tech Companies Continue To Innovate With No
    Women At The Table?
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