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Record W1567725649 · doi:10.1017/cbo9780511664793

Transferring Wealth and Power from the Old to the New World

2001· book· en· W1567725649 on OpenAlexaboutno aff
Michael D. Bordo

Bibliographic record

VenueCambridge University Press eBooks · 2001
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsRevenueColonialismPower (physics)Public goodEconomicsEconomyGeographyDevelopment economicsEconomic historyPolitical scienceFinanceArchaeology

Abstract

fetched live from OpenAlex

This book contains a collection of essays comparing the evolution of the fiscal and monetary regimes of the Old World colonial powers - England, France, Spain, Portugal and the Netherlands - from the seventeenth to the nineteenth centuries with the experiences of several of their former colonies in the New World of the Americas: the United States, Canada, Mexico, Colombia, Brazil and Argentina. The objective is to see how such fiscal and monetary institutions were modified or replaced by new ones. The case studies in the collection consider the experience of the colonies after they became independent countries; they examine the factors that allowed efficient fiscal institutions to develop in some countries, while in others such development turned out to be unsuccessful; and they consider why some governments were able to live within their means and provide public goods, while for others expenditures frequently exceeded revenue, often leading to fiscal crises.

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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.007
Scholarly communication0.0050.006
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.025
GPT teacher head0.188
Teacher spread0.162 · 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

Citations99
Published2001
Admission routes1
Has abstractyes

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