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Record W3164214351 · doi:10.1017/s0007680520000872

Examining the Role of a Private-Order Institution in Global Trade: The Liverpool Cotton Brokers' Association and the Crowning of King Cotton, 1811–1900

2021· article· en· W3164214351 on OpenAlexfundno aff
Michael Aldous, Christopher Coyle

Bibliographic record

VenueThe Business History Review · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
FundersQueen's UniversityQueen's University BelfastLondon School of Economics and Political Science
KeywordsGlobalizationOrder (exchange)InstitutionStandardizationTrade associationBusinessEconomicsEconomyInternational tradeMarket economyPolitical scienceLawFinance

Abstract

fetched live from OpenAlex

In the nineteenth century, the Liverpool Cotton Brokers' Association (CBA) coordinated the dramatic growth of Liverpool's raw cotton market. This article shows how the CBA achieved this through the development of a private-order institutional framework that improved information flows, introduced standardization and contracting regimes, and regulated market exchange platforms. These developments corresponded with significantly improved market coordination, which facilitated the growth of the largest raw cotton market in the world. The article's findings demonstrate and quantify the importance of nonstate actors in creating institutions of global exchange central to the first wave of globalization.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.893
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.034
GPT teacher head0.208
Teacher spread0.174 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations7
Published2021
Admission routes1
Has abstractyes

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