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Record W152952287 · doi:10.24385/lincoln.25162880

The Caseroom Press and Kurt Schwitter's Merz Fairy Tales

2012· article· en· W152952287 on OpenAlexaboutno aff
Philippa Wood, Brian Peacock, Barrie Tullett

Bibliographic record

VenueLincoln Repository (University of Lincoln) · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEphemeraPoetryArtArt historyVisual artsExhibitionPaintingSelection (genetic algorithm)Performance artLiteratureComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Irvine Peacock, Barrie Tullett and Philippa Wood are a collective called The Caseroom Press; an independent publisher whose work explores the function and format of the book, from single limited editions to multiple copies; from poetry to prose; from the artist’s book to traditional print; from stencils, to typewriters, to wood and metal type; from litho to digital. This exhibition at the Bower Ashton Library, UWE, Bristol, showcases a range of books, objects and ephemera. These range from individual pieces to wider collaborations, notably The MerzBox: a selection of works by a number of illustrators, designers, painters, poets, sculptors, students and musicians.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.069
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.008
Scholarly communication0.0110.009
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0690.009

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 head0.017
GPT teacher head0.198
Teacher spread0.182 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2012
Admission routes1
Has abstractyes

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