Michael Castelle

@mccastelle

Datalogy / Codatalogy . “Renaissance-grade omnivore” — I.V.

UK
Vrijeme pridruživanja: lipanj 2009.

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  1. Prikvačeni tweet
    1. lis 2018.

    What can deep learning practitioners and the scene learn from Lévi-Strauss and Bourdieu? And what can theoretical social scientists learn from studying GAN architectures? Based on talks given at , , and . [2/2]

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  2. 30. sij

    Converting economic capital to cultural capital at courtesy

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  3. proslijedio/la je Tweet
    29. sij

    "Something as simple as shifting from one language to another can prompt you to think historically about how all these forms of knowledge are intertwined." -Lorraine Daston

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  4. 9. stu 2019.

    The correct way to kick off your "Sociology of AI" class 👇

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  5. 2. stu 2019.

    Vigliocco: "We should abandon and move beyond the traditional distinction between the linguistic and the non-linguistic and move from semantic processing to semiotic processing" 💯

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  6. 2. stu 2019.

    Firstness and Secondness make a sudden appearance within the Church of Thirdness (Gabriella Vigliocco CoNLL keynote at )

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  7. 11. lis 2019.

    For those on the sidelines, the epistemic upheaval in natural language processing right now is truly glorious

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  8. 17. ruj 2019.

    An excellent piece that uses the history and materiality of the videotape to interrogate the now-conventional analog vs. digital dichotomy, and highlights the more coherent shift between live and recorded media.

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  9. proslijedio/la je Tweet
    5. ruj 2019.

    Now, Michael Castelle, with a paper that is extremely my shit:

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  10. proslijedio/la je Tweet
    21. lip 2019.

    Is historical FOMO a thing? Les Machines a Calculer et la Penseé Humaine, January 8-13, 1951, Paris.

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  11. proslijedio/la je Tweet
    11. svi 2019.

    Why do we need Critical Studies? What epistemic categories are needed to understand Machine Learning? Join our upcoming with HIIG guest researchers Jonathan Roberge () & () on 15 May:

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  12. proslijedio/la je Tweet
    9. svi 2019.

    Thread: Recent events have caused me to reflect on the way I teach computational social science, and how this relates to my experiences with the data methods / data science community in political science. 1/n

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  13. proslijedio/la je Tweet
    27. tra 2019.
    Odgovor korisniku/ci

    Fun fact: Your average 200-page introduction to Roman civil law discusses *every* failure mode the smart contract world has, um, *independently rediscovered* so far. Actually, many introductions to *stone age* law do.

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  14. 23. tra 2019.

    I've been working on a historiographically defensible version of this argument for a couple of months... and they just... tweeted it out

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  15. 18. velj 2019.

    "To pass from one language to another is psychologically parallel to passing from one geometrical system of reference to another." — Edward Sapir on Neural Machine Translation, 1924

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  16. 14. velj 2019.

    In the end, we will all regret training on Reddit.

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  17. proslijedio/la je Tweet
    19. sij 2019.

    Fairly honest perspective on the development of operating systems: "I am attempting to all but program [the computer operator] out of existence" via

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  18. 11. sij 2019.

    Stanford Theatre: basically the Sal's Pizzeria of Silicon Valley

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  19. 3. sij 2019.

    Open-source kitsch that belongs in a museum: thanks to for documenting the "early" days of convolutional experimentation

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  20. 26. pro 2018.

    Tensor-based model of how your cat looks at stuff (Pellionisz, 1986)

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  21. proslijedio/la je Tweet
    26. stu 2018.

    Totally believable. Someday I'll tell the story of how in a 6-month period * I was hired at Twitter to manage a growing anti-abuse team * hiring was frozen * an exec seized control for his own glory * my team was decimated * I and others were laid off * I got no severance

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