25 Matching Annotations
  1. Mar 2023
    1. August 30: Post edited to reflect that you don’t need Python to download Web of Science data. Thanks for the correction, Scott Weingart!

      I don't know if I was the only one who felt this way after finishing the article, but though I agree that it was helpful to have listed all the tools available to us, the sheer amount of unfamiliar programs and names was overwhelming for a person like me who is not very skilled or familiar with technology and programming...

    1. If a digital component is an unnecessary accessory, rather than an innova-tive means of solving a real research problem, then it should be dropped

      I find it hard to believe that everyone will adhere to this

    2. One riposte is that the digital (and the quantitative) cannever accommodate the vagueness of meaning and vagaries of culture that close read-ing can. Ted Underwood (who prefers distant reading as the name of his own field ofinquiry, rather than digital humanities; cf. Dinsman 2016) has described this objectioncleverly:[. . .] it has become folk wisdom that computers can only handle crisp binary logic. Ifyou tell a computer that a novel both is, and is not, an example of detective fiction, thecomputer is supposed to stammer desperately and emit wisps of smoke. In reality, thewhole point of numbers is to handle questions of degree that don’t admit simple yes orno answers. Statistical models are especially well adapted to represent fuzzy boundaries[. . .] (Underwood 2014:9)

      without looking into any facts about this, I would naturally want to agree with the claim that a machine cannot catch all the "vagueness of meaning". This might just be a personal hope, but it scares me to think that machines are able to understand and interpret correctly any and all types of text at the same level that humans can. If machines really can do all of this, what work is left for us humans?

    1. TEI encoding

      Text Encoding Initiative; a consortium which collectively develops and maintains a standard for the representation of texts in digital form.

    2. In doing so we learn something true, but we also distort the system, lending outsized importance to our object at the expense of those textual features outside our purview.

      I have felt this way several times when reading/hearing analyses regarding a certain book/lyrics/poem, where I felt like the focus was put too much on only one aspect of the text, and therefore was not an accurate representation/interpretation of said text. I feel like it is easy to over-focus on one specific point when trying to analyse

    1. Usually, they provided a summaryof the novel:

      fascinating, considering how we now always find a summary on the back side of the book instead of in the title. In just some hundred years the summary has traveled all the way from the front to the back of the book.

    2. they also become much more similar to each other:

      this reminds me of the Vogue magazine covers we watched and how the older ones were much more diverse but later became so similar that we could clearly see an image of a female face

    1. The "results" of DH, then, are not entirely illusory. They have turned many humanists into establishmentcurators and made critical thought a form of planned obsolescence.

      Any results the DH can give are, in other words, negative.

    2. Compared with the brute optical scanning of distant reading, human reading issymphonic —a mixture of subliminal speaking, note-taking, savoring, and associating.

      I very much agree with this statement. Even if computers can "read" a text, they do not have feelings, and therefore cannot "feel" the text as a human can.

    3. Roughly a decade’s worth of resources have now beenthrown in their direction, including the founding of an Office of Digital Humanities at the National Endowment forthe Humanities, unheard-of amounts of funding from the Andrew W. Mellon Foundation, a parade of celebratoryanthologies backed by crossover articles in high-profile magazines, and academic job openings in an era of tenuretrackscarcity. So, with all their promise, and all this help, what exactly have the digital humanities accomplished?It is a hard question to answer.

      the author sounds very bitter...

    4. After a decade of investment and hype, what has the field accomplished? Not much.First came the debacle of the high-priced "Ada" algorithm, the control center of Hillary Clinton’s ill-fated operation.Next ESPN wonk Nate Silver, after flubbing the 2016 election forecast, defended his numbers by claiming that hewas not more wrong than every other statistical predictor since 1968. Finally, consider the kerfuffle overCambridge Analytica, the British company whose "psychographics" method of data modeling and "emotionanalysis" claimed to be the Trump camp’s secret weapon —until skeptics recalled that Ted Cruz and Ben Carsonhad employed their services as well.

      I hope I'm not the only one who was overwhelmed by all the unfamiliar words and names in the introduction... I feel like the author is assuming that the reader knows a lot about a very specific topic, which makes the text hard to read for people who are new to the field.

  2. drive.google.com drive.google.com
    1. tenure

      noun 1. the conditions under which land or buildings are held or occupied

      1. the holding of an office

      verb give (someone) a permanent post, especially as a teacher or professor

    2. s it only an accident that the emergence of digitalhumanities has coincided with the intensiication of the economic crisis inthe humanities in higher education?

      I find this a very interesting question!

    1. stories of man’s first disobedience seemed to have been—ever so briefly—undone

      I didn’t understand why the author references to Adam and Eve and the fall here. Did anyone else understand this?? How can the fall become briefly undone?