- Jun 2021
Deep reading, as Maryanne Wolf argues, is indistinguishable from deep thinking.
I like this concept of deep reading.
Compare/contrast with close reading and distant reading.
What other types of reading might we imagine?
- Mar 2021
Fibar bi jàngal na taawan bu góor ni ñuy dagge reeni aloom.
Le guérisseur a appris à son fils aîné comment on coupe les racines du Diospyros.
fibar -- (fibar bi? the healer? as in feebar / fièvre / fever? -- used as a general term for sickness).
bi -- the (indicates nearness).
jàngal v. -- to teach (something to someone), to learn (something from someone) -- compare with jàng (as in janga wolof) and jàngale.
na -- pr. circ. way, defined, distant. How? 'Or' What. function indicator. As.
taaw+an (taaw) bi -- first child, eldest. (taawan -- his eldest).
bu -- the (indicates relativeness).
góor gi -- man; male.
ni -- pr. circ. way, defined, distant. How? 'Or' What. function indicator. As.
ñuy -- they (?).
dagg+e (dagg) v. -- cut; to cut.
reen+i (reen) bi -- root, taproot, support.
aloom gi -- Diospyros mespiliformis, EBENACEA (tree).
Dafa ànd ak moroom yi àll ba, fori aloom.
Il est allé dans la brousse ramasser des fruits de Diospyros avec ses camarades.
dafa -- he/she.
ànd v. / ànd bi -- to be together, to go together; copulate; going together, fellowship; placenta.
ak -- and, with, etc.
moroom mi -- comrade of the same age group, equal, companion, neighbor.
yi -- the (plural).
àll bi -- large expanse of uninhabited land, bush; distant, as opposed to home.
ba -- the (indicates distance).
for+i (for) v. -- to pick up.
aloom bi -- edible fruit of Diospyros mespiliformis (aloom gi for the tree).
- pick up
- Aug 2020
Webinar: Virtual Networking for Nerds: How to network and find collaborations from afar. (n.d.). Retrieved 10 August 2020, from https://youtu.be/pdZyxs4resc
- Nov 2019
For those not familiar with GPT-2, it is, according to its creators OpenAI (a socially conscious artificial intelligence lab overseen by a nonprofit entity), “a large-scale unsupervised language model which generates coherent paragraphs of text.” Think of it as a computer that has consumed so much text that it’s very good at figuring out which words are likely to follow other words, and when strung together, these words create fairly coherent sentences and paragraphs that are plausible continuations of any initial (or “seed”) text.
This isn't a very difficult problem and the underpinnings of it are well laid out by John R. Pierce in An Introduction to Information Theory: Symbols, Signals and Noise. In it he has a lot of interesting tidbits about language and structure from an engineering perspective including the reason why crossword puzzles work.
close reading, distant reading, corpus linguistics
- Jan 2019
Calling upon media theory, which considers how mass media frames and focusesthekind ofattention an eventreceives,e.g., [4,8], social media can do the same.
Evokes media framing and Chouliaraki's work on distant suffering
- Aug 2018
The UNHCR has even called for the refugees themselves to also develop their own data solutions and ideas (see Palmer 2014) as a way to help build their ideologies into the data infrastructures and thus bring their prisms into view. This could create a richer situational awareness and a better ability to understand and deal with unfolding and future crises by supporting resilient communities through giving them the means of data producing and sharing
Participatory-design and community-centered design could be very helpful in this regard but this argument seems overstated.
Evokes concerns about "distant suffering" (see: Chouliaraki, 2008): Who gets to share? What community? Refugees are not homogeneous.
- Jun 2018
The first part introduces what Marjorie Perloff calls “differential reading,” which positions close and distant reading practices as both subjective and objective methodologies.
Is New Historicism close or distant reading? The latter, right? But nonetheless deeply human, perhaps more so than "close reading" criticized as privileging text over lived reality.
- Oct 2017
While one could manually “count” references across a novel or ouvre, or attempt to estimate relative occurrence, a text analysis tool like Voyant can more easily provide textual evidence necessary to support an essay’s claim, or, if the evidence proves the writer “wrong,” help the writer re-evaluate her argument accordingly.
Just a tool of efficiency or for noticing unrecognized patterns through a different means of analysis. Both, IMO.
- Jun 2017
Don’t we have to actually read the books, before saying what the patterns discovered in them mean?
Yes, of course. But it's ironic that this three post tirade begins with a rather distant reading of the MLA program.
But does the data point inescapably in that direction?
In the above performance of close reading, is the evidence more "inescapable"? Isn't is always in the fullness of the argumentation no matter where the data comes from?
- May 2017
Distant Early Warning Line (DEW Line)
The Distant Early Warning (DEW) Line was a chain of 63 radio and communication centers that spread from Alaska to the Canadian Arctic to Greenland. The DEW line was an American defense project to protect them from Russian threat. The DEW line was the first joint American and Canadian defense project (Lajeunesse). Because the majority of the project was paid for and spearheaded by the United States, Canada feared losing sovereignty in the Arctic. The United States did not wish to control Canadian land, but would control military forces in that region. Canada feared American presence and demanded that any American military air force bases be located away from densely populated areas. The DEW Line was functional by 1957. The DEW line was primarily controlled by the American Air Force, as the Canadian Air Force personnel did not have proper training or manpower to serve the DEW line. The Canadian presence on the DEW line was largely ceremonial to display Canadian approval and control of their land. The Canadian government pushed for the DEW Line to become NATO territory to minimize American dominance of the region, but this hope was never realized. In order to regain control over their Arctic territory, Canada constructed its own radar line called the Mid-Canada Line. Constructing their own line allowed Canada to regain recognition as a powerful ally and partner to the United States.
References: Lajeunesse, Adam. "The Distant Early Warning Line and the Canadian Battle for Public Perception." Canadian Military Journal. Accessed May 04, 2017. http://www.journal.forces.gc.ca/vo8/no2/lajeunes-eng.asp.
- Aug 2016
Jockers talking about the old approach in the 1990s to anecdotal evidence:
… in the 1990s, gathering literary evidence meant reading books, noting "things" (a phallic symbol here, a bibliographical reference there, a stylistic flourish, an allusion, and so on) and then interpreting: making sense and arguments out of those observations. Today, in the age of digital libraries and large-scale book-digitization projects, the nature of the "evidence" available to us has changed, radically. Which is not to say that we should no longer read books looking for, or noting, random "things," but rather to emphasize that massive digital corpora offer is unprecedented access to literally record an invite, even demand, a new type of evidence gathering and meaning making. The literary scholar of the 21st-century can no longer be content with anecdotal evidence, with random "things" gathered from a few, even "representative," text. We must strive to understand the things we find interesting in the context of everything else, including a massive possibly "uninteresting" text.
Pages 7 and 8
Jockers is talking here about Ian Watt’s method in Rise of the Novel
What are we to do with the other three to five thousand works of fiction published in the eighteenth century? What of the works that Watt did not observe and account for with his methodology, and how are we to now account for works not penned by Defoe, by Richardson, or by Fielding? Might other novelists tell a different story? Can we, in good conscience, even believe that Defoe, Richardson, and Fielding are representative writers? Watt’s sampling was not random; it was quite the opposite. But perhaps we only need to believe that these three (male) authors are representative of the trend towards "realism" that flourished in the nineteenth century. Accepting this premise makes Watts magnificent synthesis into no more than a self-fulfilling project, a project in which the books are stacked in advance. No matter what we think of the sample, we must question whether in fact realism really did flourish. Even before that, we really ought to define what it means "to flourish" in the first place. Flourishing certainly seems to be the sort of thing that could, and ought, to be measured. Watt had no yardstick against which to make such a measurement. He had only a few hundred texts that he had read. Today things are different. The larger literary record can no longer be ignored: it is here, and much of it is now accessible.
Jockers, Matthew L. 2013. Macroanalysis: Digital Methods and Literary History. Topics in the Digital Humanities. Urbana, IL: University of Illinois Press.
- Jul 2016
One benefit of traditional hermeneutical practices such as close reading is that the trained reader need not install anything, run any software, wrestle with settings, or wait for results. The experienced reader can just enjoy iteratively reading, thinking, and rereading. Similarly the reader of another person's interpretation, if the book being interpreted is at hand, can just pick it up, follow the references, and recapitulate the reading. To be as effective as close reading, analytical methods have to be significantly easier to apply and understand. They have to be like reading, or, better yet, a part of reading. Those invested in the use of digital analytics need to think differently about what is shown and what is hidden: the rhetorical presentation of analytics matters. Further, literary readers of interpretive works want to learn about the interpretation. Much of the literature in journals devoted to humanities computing suffers from being mostly about the computing; it is hard to find scholarship that is addressed to literary scholars and is based in computing practices.
Retrieval methods designed for small databases decline rapidly in effectiveness as collections grow...
This is an interesting point that is missed in the Distant reading controversies: its all very well to say that you prefer close reading, but close reading doesn't scale--or rather the methodologies used to decide what to close read were developed when big data didn't exist. How to you combine that when you can read everything. I.e. You close read Dickins because he's what survived the 19th C as being worth reading. But now, if we could recover everything from the 19th C how do you justify methodologically not looking more widely?
On Close and Distant Reading in Digital Humanities:A Survey and Future Challenges
Jänicke, S., G. Franzini, M. F. Cheema, and G. Scheuermann. n.d. “On Close and Distant Reading in Digital Humanities: A Survey and Future Challenges.”
- Dec 2015
“distant reading”: understanding literature not by studying particular texts, but by aggregating and analyzing massive amounts of data.
Nothing against this, but it's not the game I'm in.
Question is, though, can the same tool be used to do both distant reading and close reading?
- Nov 2013
In a Literary Lab project on 18th-century novels, English students study a database of nearly 2,000 early books to tease out when “romances,” “tales” and “histories” first emerged as novels, and what the different terms signified.
This may be a reference to the Eighteenth Century Collection Online-Text Creation Partnership (ECCO-TCP) project, which transcribed and marked up in XML ~2,200 eighteenth-century books from the Eighteenth Century Collections Online database (ECCO). The ECCO-TCP corpus is in the public domain and available for anyone to use: http://www.textcreationpartnership.org/tcp-ecco/