Jockers 2013: Difference between revisions

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:"The larger argument I wish to make is that the study of literature should be approached not simply as an examination of seminal works but as an examination of an aggregated ecosystem or 'economy' of texts." (32)
:"The larger argument I wish to make is that the study of literature should be approached not simply as an examination of seminal works but as an examination of an aggregated ecosystem or 'economy' of texts." (32)
== Metadata ==
using metadata in bibliographies to generate new knowledge about publication histories
== Style ==
using statistical text analysis to identify genre
:"The results suggested that there were grounds for believing that genres have a distinct linguistic signal; at the same time, however, a close analysis of the data tended to confirm the general consensus among authorship-attribution researchers, namely, that the individual usage of high-frequency words and punctuation serves as an excellent discrimator between authors. In other words, though genre signals were observed, there was also the presence of author signals and no obvious way of determining which feature-usage patterns were most clearly 'authorial' and which 'generic.'" (70)
successive generations of waves of style, ever 30 years, in 19c
strength of author signals trumps signals of individual texts in one experiment (93)
gender shows strong influence on style
marks of punctuation sometimes more indicative than words (99)
:"If form ever follows function, then style ever follows form." (104)
== Nationality ==
"stylistic habits of word and punctuation usage are an imperfect measure of national style" (117)
== Theme ==

Revision as of 22:40, 27 December 2013

Jockers, Matthew. Macroanalysis: Digital Methods and Literary History. Urbana: University of Illinois Press, 2013.

Revolution

"The questions we may now ask were previously inconceivable, and to answer these questions requires a new methodology, a new way of thinking about our object of study." (4)

Evidence

"Science has welcomed big data and scaled its methods accordingly. With a huge amount of digital-textual data, we must do the same. Close reading is not only impractical as a means of evidence gathering in the digital library, but big data render it totally inappropriate as a method of studying literary history." (7)
"The literary scholar of the twenty-first century can no longer be content with anecdotal evidence, with random 'things' gathered from a few, even 'representative,' texts. We must strive to understand these things we find interesting in the context of everything else, including a mass of possibly 'uninteresting' texts." (8)
"Like it or not, today, today's literary-historical scholar can no longer risk being just a close reader: the sheer quantity of available data makes the traditional practice of close reading untenable as an exhaustive or definitive method of evidence gathering. Something important will inevitably be missed." (9)
"More interesting, more exciting, than panning for nuggets in digital archives is the ability to go beyond the pan and exploit the trommel of computation to process, condense, deform, and analyze the deeper strata from which these nuggets were born, to unearth, for the first time, what these corpora really contain.' (9-10)

Tradition

computational text analysis as "by all accounts the foundation of digital humanities and its deepest root" (15)

digital humanities tends to prefer web-based applications; but "the web is not yet a great platform upon which to build or deliver tools for doing text analysis 'at scale'" (18)

Macroanalysis

distant reading --> microanalysis; "places the emphasis on the systematic examination of data" (25)

"This is no longer reading that we are talking about -- even if programmers have come to use the term read as a way of naming functions that load a text file into computer memory. Broad attempts to generalize about a period or about a genre by reading and synthesizing a series of texts are just another sort of microanalysis. This is simply close reading, selective sampling, of multiple 'cases'; individual texts are digested, and then generalizations drawn. It remains a largely qualitative approach." (25)
"I am suggesting a blended approach." (26)
"the macroscale perspective should inform our close readings of the individual texts by providing, if nothing else, a fuller sense of the literary-historical milieu in which a given book exists." (28)
"The larger argument I wish to make is that the study of literature should be approached not simply as an examination of seminal works but as an examination of an aggregated ecosystem or 'economy' of texts." (32)

Metadata

using metadata in bibliographies to generate new knowledge about publication histories

Style

using statistical text analysis to identify genre

"The results suggested that there were grounds for believing that genres have a distinct linguistic signal; at the same time, however, a close analysis of the data tended to confirm the general consensus among authorship-attribution researchers, namely, that the individual usage of high-frequency words and punctuation serves as an excellent discrimator between authors. In other words, though genre signals were observed, there was also the presence of author signals and no obvious way of determining which feature-usage patterns were most clearly 'authorial' and which 'generic.'" (70)

successive generations of waves of style, ever 30 years, in 19c

strength of author signals trumps signals of individual texts in one experiment (93)

gender shows strong influence on style

marks of punctuation sometimes more indicative than words (99)

"If form ever follows function, then style ever follows form." (104)

Nationality

"stylistic habits of word and punctuation usage are an imperfect measure of national style" (117)

Theme