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Record W2726691455 · doi:10.3138/flor.32.006

Getting Technology and Not Getting Theory: The New Philology after Twenty-Five Years

2015· article· en· W2726691455 on OpenAlexaffvenue
Andrew Taylor

Bibliographic record

VenueFlorilegium · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPhilologyStructuralism (philosophy of science)MilitantGRASPEpistemologyAbstractionOrder (exchange)SociologyPoliticsLinguisticsPhilosophyComputer scienceFeminismPolitical scienceGender studiesLaw

Abstract

fetched live from OpenAlex

The New Philology, as presented by Stephen G. Nichols in the January 1990 issue of Speculum, offered the exciting prospect of combining poststructuralist theory with manuscript studies. But the two proved antagonistic in many ways. Theory was difficult to grasp and militant, calling for political engagement. It assumed the stability of late print culture, in which texts could be firmly identified and placed in chronological order. Drawing on structuralism and its analysis of synchronic linguistic systems, poststructuralist theory also tended towards abstraction and it problematized human intention, which manuscript scholars, for the most part, remain committed to recapturing.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.025
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0130.057
Scholarly communication0.0180.023
Open science0.0010.008
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0050.001

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 head0.035
GPT teacher head0.226
Teacher spread0.191 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
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

Citations2
Published2015
Admission routes2
Has abstractyes

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