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Record W4242720962 · doi:10.3138/utq.80.4.815

Blake and the Banknote Crises of 1797, 1800, and 1818

2011· article· en· W4242720962 on OpenAlexvenueno aff
Mark Crosby

Bibliographic record

VenueUniversity of Toronto Quarterly · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsBanknoteContext (archaeology)EngravingCarvingPoetryPseudonymHistoryArtLiteratureArt historyLawVisual artsPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

On 5 April 1797, Blake signed a certificate attesting to the efficacy of Alexander Tilloch's method for producing forge-proof banknotes. Tilloch's scheme was designed to obviate the human cost of forgery, which was a capital offence. Predicated on a stereotype printing process, Tilloch's method was technically and conceptually analogous to Blake's experiments in illuminated printing. While motivated by different political, economic, and aesthetic ideals, both men used experimental engraving/etching technologies to challenge systemic repression. This essay examines an overlooked context for Blake's poetic responses to repression, documents a previously unrecorded manuscript certificate dated 5 April 1797 containing Blake's signature, as well as two hitherto unrecorded instances of Blake's name being published in connection with Tilloch's 1797 scheme, and suggests another context for the ‘black net’ that Blake describes smothering London in 1800. The trial records show that those convicted of banknote forgery had access to engraving equipment. As an engraver with a copperplate rolling press, Blake would have come under suspicion when large quantities of counterfeit notes were discovered in 1797, 1800, and 1818.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.890
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.168
Teacher spread0.151 · 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 teacher head, not a consensus.

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

Citations2
Published2011
Admission routes1
Has abstractyes

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