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Record W6907688633 · doi:10.24385/lincoln.25162826.v2

No. 13 of the TYPEWRITTEN series: The Typographic Dante - Purgatory by Barrie Tullett, UK

2024· other· en· W6907688633 on OpenAlexaboutno aff

Bibliographic record

VenueLincoln repository · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPurgatorySection (typography)Character (mathematics)Middle Ages

Abstract

fetched live from OpenAlex

Barrie Tullett: “The Typographic Dante began as my Final Major Project when I was a 3rd year student at the Chelsea School of Art (in 1989). As one does, I’d decided to produce a series of typographic illustrations for Dante’s Divine Comedy. One Letterpress image for each Canto of the Inferno, then, as the project developed, Typewriter Art illustrations for Purgatory and Letraset for Paradise. The images for each book to be created with a different, commercially ‘obsolete’, technology ... “Included in this book is the typewritten section Purgatory with 33 typographics printed in monochrome, originally written on different typewriters with different coloured ribbons.Printed on my Gestetner 320 mimeograph. Hand-bound edition of 45 copies, 36 pages, 28x21cm landscape size, April 2022.The TYPEWRITTEN series is edited, printed, hand-bound, and published by psw.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.653
Threshold uncertainty score0.495

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.6530.550

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 head0.003
GPT teacher head0.197
Teacher spread0.193 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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