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Record W4387683850 · doi:10.20314/als.aa3f8c1d48

Between Impressions and Data: Negotiating Literary Value at the Humanities/Social Sciences Frontier

2023· article· en· W4387683850 on OpenAlexaboutno aff
Simone Murray

Bibliographic record

VenueAustralian Literary Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationQuarter (Canadian coin)Value (mathematics)FrontierLiterary criticismHumanitiesHistory of literatureLiteratureSociologyDisciplineArtArt historyHistorySocial science

Abstract

fetched live from OpenAlex

iterary studies' chief intellectual challenge at the present moment is that its object of study, governing theories and analytic methods are premised on the printed book, yet the discipline manifestly exists in a world where the publishing, promotion, discussion, reviewing and documenting of reading occur via digital platforms.In short, under-acknowledged printculture assumptions underpin literary studies' academic project.In the late twentieth-century context, where emergent digital technologies were frequently pitted against literary (read: print) culture, it was difficult to remain open to rethinking literary studies' operating norms without risking total capitulation.But now that existential threats to the book have subsided, while the pace of digital technology continues to accelerate, it is both timely and urgent to consider how literary studies can help the public make sense of literary culture in the digital era, and in doing so ensure its continued existence as a scholarly endeavour.With the humanities generally, and literary studies specifically, under constant political, economic and often institutional threat, we need to maximise every opportunity to demonstrate the discipline's socio-cultural relevance in the contemporary world.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.002
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.372
GPT teacher head0.384
Teacher spread0.012 · 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; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations3
Published2023
Admission routes1
Has abstractyes

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