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Criminal Transportation in the Atlantic World

2017· reference-entry· en· W4233906500 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldSocial Sciences
TopicColonialism, slavery, and trade
Canadian institutionsnot available
Fundersnot available
KeywordsPortugueseColonialismEmpireIndigenousState (computer science)PoliticsLawHuman settlementHistoryPolitical scienceAtlantic WorldCriminologySociologyArchaeology

Abstract

fetched live from OpenAlex

For centuries, European states used criminal transportation as a mechanism not only to punish unruly offenders at home, but also to colonize new and distant territories, carry out military service in colonial settlements, and provide the necessary labor for state building in the Atlantic world. In the Americas, Europeans relied heavily on coerced labor from indigenous populations and imported unfree people, largely chattel slaves. Criminal transportation supplemented these efforts by banishing offenders to distant colonies under state supervision. Unlike African slaves whose enslavement became inheritable and perpetual, convicts facilitated colonial expansion by serving a term of service, and transportation also rid the metropole of unwanted elements. Criminal expulsion had its legal origins in Roman law, and major Western powers in Europe turned the process of banishment into a significant transportation system, one that allowed courts to deport criminals, rogues, vagrants, harlots, and military and political offenders deemed undesirable. The Portuguese shipped degredados (male criminals) to its Atlantic islands, including São Tomé, Príncipe, and São Martinho, as well as to its North African forts as early as the 15th century, and in the following century, authorities began deporting transportees to Brazil. The Portuguese abolished the imperial traffic in 1954, which made it the longest lived of the Atlantic criminal transportation systems. Out of all the European imperial powers, it is likely the British crown sent the highest number of convicts to its Atlantic colonies during the Early Modern period. Beginning in 1615, James I permitted judges to banish criminals to service the empire across the Atlantic. With the Transportation Act of 1718, the Crown used private companies to ship more than fifty thousand felons across the ocean, many of whom served as convict servants. The French also sent convicts to help colonize their New World in the 17th and 18th centuries, including the West Indies, Louisiana, and Canada, where they worked as laborers, soldiers, or in the galleys. In the 19th century, the French transformed French Guiana into a penal colony, which operated until the mid-20th century. Spain also used convicts in the North African presidios—fortified bases—in the Early Modern period. In the Americas, particularly in the second half of the 18th century, Spanish authorities deported offenders largely to work in Caribbean ports and fortresses. The system of transportation reflected shifting notions of state power, as contemporaries contested its legal and economic mechanisms as well as its moral and redemptive features for their societies and the convicts themselves. Newer scholarship seeks to expand our understanding of crime and punishment, penal reform, labor, imperial development, and associated cultural developments in an interconnected Atlantic world.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.209
Threshold uncertainty score0.415

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.003
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.076
GPT teacher head0.356
Teacher spread0.280 · 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
Published2017
Admission routes1
Has abstractyes

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