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Record W2909269286 · doi:10.1353/eam.2019.0000

The Blood That Nourishes the Body Politic: The Origins of Paper Money in Early America

2019· article· en· W2909269286 on OpenAlexaboutno aff
Katie A. Moore

Bibliographic record

VenueEarly American studies · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPrerogativeLegislaturePoliticsFaithColonialismCommonwealthValue (mathematics)Government (linguistics)EconomicsPolitical economyLawEconomic historyPolitical sciencePublic administration

Abstract

fetched live from OpenAlex

In 1690 the government of Massachusetts created the first paper money in the Western world to pay for the unsuccessful invasion of Canada at the opening of King William’s War. So-called bills of public credit were based on radical ideas about money and value that had emerged in England during the Commonwealth and spread to the colonies shortly thereafter, where they were widely implemented in the first half of the eighteenth century. Far from being a neutral medium, paper money was inseparable from colonial politics; its value came from public faith in provincial legislatures to accept the money as payment for taxes. Moreover, it expressed the legislative prerogative to make war, define markets, and, with the establishment of the first public land banks in the 1710s, stimulate commerce. This essay explores the origins of paper money in early America and argues that it became the basis of a colonial political economic order founded on the legislative authority to make such money as well as a notion of value that tied local monetary worth to a colony’s collective political and economic future.

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)0.003
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 score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.014
Scholarly communication0.0060.003
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.230
Teacher spread0.207 · 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

Citations11
Published2019
Admission routes1
Has abstractyes

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