MétaCan
Menu
Back to cohort
Record W2059590932 · doi:10.7202/013153ar

From Text to Work: Digital Tools and the Emergence of the Social Text

2006· article· en· W2059590932 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRomanticism on the Net · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsnot available
Fundersnot available
KeywordsSection (typography)Character (mathematics)Work (physics)PoetryDigital humanitiesTest (biology)SociologyLiteratureEpistemologyComputer sciencePhilosophyArtWorld Wide WebEngineeringMathematics

Abstract

fetched live from OpenAlex

The essay is a study of how critical editions work, whether in paper-based forms or in electronic forms. The first section – more than half the essay – gives a close examination to J. C. C. Mays’s superb recent (Bollingen) edition of Coleridge’s poetry. This analysis establishes the terms for investigating the opportunities that digital technology supplies for scholars pursuing a close study of the socio-historical character of literary works. This investigation pivots around the seminal work of D. F. McKenzie, whose theory of the social-text edition argues for a more comprehensive kind of editorial method. This essay argues that the method can be best realized through digital resources. It concludes with a discussion of The Rossetti Archive as a “proof of concept” experiment to test the social-text approach to editorial method.

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.

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 categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.220
Teacher spread0.184 · 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