20 Matching Annotations
  1. Nov 2018
    1. 3-D models of Roman ruins, generate charts and graphs of linguistic phenomena,

      this seems cool and useful, why is it being called into question

    2. the ones for whom any other common designation (game studies, media studies, cyberculture, edutech) doesn’t make as much sense

      to be honest, terms like "game studies" and "cyberculture" seem more clear than humanities computing to a laymen like myself

    1. How does one account for the power relations at work in the relationships between the enslaved men and women who committed their narratives to paper, and the group of (mostly white) reformers who edited and published their works

      interesting question. Wonder if digital humanities has a way to reconcile this issue or if the introduction of computers on exacerbates the power dynamic

    1. and a decade ago you would have been forgiven if you imagined only a human could have produced the algorithm’s output.

      testament to how far technology has come

    1. White players were more likely to be called “intelligent” and blacks more likely to be called“natural.”

      while this is revealing of differences in scouting, it also reflects that white players and black players typically play different positions in football. Most NFL quarterbacks are white and therefore it makes sense that intelligent would come up more in their scouting reports.

    1. Any political divisions that are uniquely determined

      what if there are no divisions made? or at least not explicitly. Or what if they mention the US but not where. They could be talking Paris, ME or Paris TX

    1. lynching was visible in the sense that it was a spectacle of power, but it was invisible in the records of the nation-state

      Interesting, everyone understood but nobody spoke about it

  2. Oct 2018
    1. was to come up with a way of automatically detecting the occurrence of major world events, such as volcanic eruptions and political elections, through the text analysis of news feeds

      sort of like twitter trending algorithms for news

    1. not at all' (1), 'no more than usual' (2), 'rather more than usual' (3), 'much more than usual' (4)).

      This seems subjective. What does usual mean? What is someone who is always unhappy says that they're no worse than usual. That would be misleading in the data.

    1. other studies suggest that in certain settings sub-jects do take into account conditional contingencies in order tojudge the causal efficacy of the fertilizer

      interesting

    1. ave had at least one same-sex sex partner since 18;

      seems like a generous definition of same-sex behaving. A lot of the data used seems hard to confirm and subjective