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Record W2012388076 · doi:10.7202/1001097ar

Scott Squashed: Chapbook Versions of The Heart of Mid-Lothian

2011· article· en· W2012388076 on OpenAlexaffvenue
David Buchanan

Bibliographic record

VenueRomanticism and Victorianism on the Net · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAudience measurementClass (philosophy)HistoryArt historyLiteratureArtAdvertisingComputer scienceArtificial intelligenceBusiness

Abstract

fetched live from OpenAlex

Walter Scott’s Waverley Novels provide an excellent means of illustrating the multifaceted print market in nineteenth-century Britain. Not only was each novel an upmarket best-seller, but pirated copies, stage adaptations, abridgements, and collected editions transformed each story for readers across class and socio-economic differences. There was also considerable market differentiation within each of these forms. For example, the traditional chapbook, featuring tales such as Guy of Warwick and Robin Hood, was altered by publishers adapting both out-of-copyright and current novels for various audiences. The form, content, price, and length of these new chapbooks were designed to attract and develop different parts of a broad downmarket readership. Accordingly, this case study of Scott’s The Heart of Mid-Lothian (1818) as chapbook from 1818 to ca. 1830 describes the transformation of an upmarket novel for a popular print form influenced by publishers, readers, and socio-historical circumstances.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.004
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.030
GPT teacher head0.218
Teacher spread0.187 · 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
Published2011
Admission routes2
Has abstractyes

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