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Record W4221082294 · doi:10.1177/14624745221081961

The jailhouse divergence: Why debtors’ prisons disappeared in 19th century Europe and flourished in West Africa

2022· article· en· W4221082294 on OpenAlexfundno aff
Sarah Balakrishnan

Bibliographic record

VenuePunishment & Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicColonialism, slavery, and trade
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaWeatherhead Center for International Affairs, Harvard UniversityPhilanthropic Educational OrganizationSocial Science Research Council
KeywordsDebtorCapitalismCreditorPrisonInsolvencyInstitutionDebtSociologyEconomyEconomic historyLawEconomicsPolitical economyPolitical scienceFinancePolitics

Abstract

fetched live from OpenAlex

It has been argued that the debtors’ prison was abolished in 19th century Europe and North America because the institution contradicted the principles of modern capitalism; by confining debtors for unpaid loans, it punished the poor while hampering the creditor, who could not be repaid by a debtor rotting in jail. This essay revises these assumptions through a study of debtors’ prisons in 19th century Ghana. It argues that, in both Europe and West Africa, the debtors’ prison historically emerged as a hostage-taking institution. Families paid their members’ loans to free them. In 19th century Ghana, this system proved crucial to the spread of mercantile capitalism; debt inmates were released within a week and creditors were repaid in full. However, in Euro-America, a new belief in homo economicus as the ‘self-made man’ portrayed insolvency as an individual failure. The European nuclear family also reduced the financial base supporting the debtor. The result was that debtors faced months, if not years, behind bars. This essay suggests that debtors’ prisons disappeared in Europe, while flourishing in West Africa, not due to the emergence of capitalism, but because of the social fabric of credit relations—the financial obligations of Africa kin networks versus European families.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.753
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.017
GPT teacher head0.258
Teacher spread0.241 · 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
Published2022
Admission routes1
Has abstractyes

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