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Record W4390562996 · doi:10.1017/9781009385947.003

Counterfeit Money

2024· book-chapter· en· W4390562996 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2024
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsWestern University
Fundersnot available
KeywordsLyricsCounterfeitHeavenCharterLiteratureDebtCreditorLaw and economicsArtPhilosophyLawPolitical scienceBusinessEconomicsFinance

Abstract

fetched live from OpenAlex

Chapter 1 uses the Middle English Charters of Christ to outline a medieval theory of money as debt. The charter lyrics pretend to be deeds, grants, or writs by which Christ cancels the debt owed to God by sinners, or, alternatively, bequeaths the kingdom of heaven to the faithful. In exchange for the remission or the inheritance, the charter stipulates that humankind owes a “rent” to Christ of love and the regular observance of the sacrament of penance. The form of the charter lyrics imitates the form of legal documents, using the verbal formulae and visual markers designed to ensure legal and documentary authenticity as a kind of spiritual guarantee: the lyrics are sincere forgeries. I argue that the kind of belief at work in this act of forgery is a monetary belief. The lyrics function as close analogues to money in that they measure debt and depend for their value on the creditor’s right to repayment. At the same time, like money, they depend for their operation on the community’s active willingness to participate in a shared fiction.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.032
Threshold uncertainty score0.107

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 studies0.0030.010
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0320.004

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 head0.025
GPT teacher head0.179
Teacher spread0.153 · 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
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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Same venueCambridge University Press eBooksSame topicMedieval Literature and HistoryFrench-language works237,207