Macroscopes and Distant Reading: Implications for Infrastructures to Support Computational...
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Transcript of Macroscopes and Distant Reading: Implications for Infrastructures to Support Computational...
MACROSCOPES
AND DISTANT
READING
IMPLICATIONS FOR INFRASTRUCTURES TO
SUPPORT COMPUTATIONAL HUMANITIES
SCHOLARSHIP
DISTANT READING
"Where distance is not an
obstacle, but a specific form of
knowledge: fewer elements,
hence a sharper sense of their
overall interconnection. Shapes,
relations, structures. Forms.
Models." Moretti, Graphs, Maps and Trees: Abstract Models for Literary
History.
THREE MODELS IN THE WILD
1.Data Dumps & Export Buttons
2.Sandboxes & Platforms
3.Analysis as a Service & Onsite
Facilities
THREE CHALLENGES
1.Rights: Can you broadly provide bulk
access to works?2.Scale: Can your infrastructure deliver bulk
exports? Is the material too large for
researchers to work with in their
environments?3.Skills: Do your users have the skills to work
with data at the command line?
UNPACKING IMPLICATIONS
1.Whenever possible, move toward
providing bulk access to data.
2.Consider deriving intermediary or
transformative data products, like n-
grams
3. If no go on 1 & 2 explore
possibilities for analytic services
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