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Record W3113375790 · doi:10.5040/9781501363474

Electronic Literature as Digital Humanities

2020· book· en· W3113375790 on OpenAlexfundno aff
James O’Sullivan

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsnot available
FundersGraduate School, University of MarylandUniversity of California, Los AngelesUniversidade do PortoUniversitetet i BergenSocial Sciences and Humanities Research Council of CanadaBrown UniversityUniversity of Notre DameWashington State UniversityWashington State University VancouverBrigham Young UniversityWest Virginia University
KeywordsDigital humanitiesHumanitiesWorld Wide WebComputer scienceMedia studiesLibrary scienceArtSociology

Abstract

fetched live from OpenAlex

<JATS1:p>This book is available as open access through the Bloomsbury Open programme and is available on www.bloomsburycollections.com.</JATS1:p> <JATS1:p>Electronic Literature as Digital Humanities: Contexts, Forms &amp; Practices is a volume of essays that provides a detailed account of born-digital literature by artists and scholars who have contributed to its birth and evolution. Rather than offering a prescriptive definition of electronic literature, this book takes an ontological approach through descriptive exploration, treating electronic literature from the perspective of the digital humanities (DH) that is, as an area of scholarship and practice that exists at the juncture between the literary and the algorithmic.</JATS1:p> <JATS1:p>The domain of DH is typically segmented into the two seemingly disparate strands of criticism and building, with scholars either studying the synthesis between cultural expression and screens or the use of technology to make artifacts in themselves. This book regards electronic literature as fundamentally DH in that it synthesizes these two constituents. Electronic Literature as Digital Humanities provides a context for the development of the field, informed by the forms and practices that have emerged throughout the DH moment, and finally, offers resources for others interested in learning more about electronic literature.</JATS1:p>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.359
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0110.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0290.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.196
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2020
Admission routes1
Has abstractyes

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Same topicDigital Humanities and ScholarshipFrench-language works237,207