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Record W4396756611 · doi:10.1017/9781805431787.004

Slave-ship Sociology

2024· other· en· W4396756611 on OpenAlexaff
Nicholas Rogers

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicContemporary Sociological Theory and Practice
Canadian institutionsYork University
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

One of the paradoxes of slave-trade history is that while we now know a lot about the gut-wrenching process of turning Africans into slaves and the hazards of trafficking on tropical coasts, we know relatively little about the sailors who manned the ships. To be sure, historians have dredged the smattering of life writings that refer to slave ships, many of which reveal graphic accounts of the brutality of captains and mates and a seaman's induction into the trade. Yet precisely who the sailors were, from what ports they hailed, how they were recruited, remains elusive if not opaque. This has not stopped historians generalizing about slave-ship sailors: they are said to be ‘multiracial’, a ‘motley crew’ from different quarters of the globe. One exception to this trend is Mike Breward who has made use of the detailed muster rolls of Bristol at the end of the eighteenth century to offer a portrait of slave-ship crews. The muster rolls earlier in the century did not have a lot to offer the historian, which typically record the pay due to sailors for months at sea and the last ships the seamen entered. These rolls were designed to assess the contribution seamen made to the hospital fund, legislated in 1747. In Bristol, the task of tracking the levy and its administration was put under the jurisdiction of the Merchant Venturers, which is why the muster rolls are in its archives. The early rolls tell us little about the social provenance of the seamen beyond noting the port from which they typically sailed, and because captains were sometimes lax about their entries, this information is not always reliable. The differential payments allotted seamen do reveal the number who died or ran during the voyage, those discharged at the port of delivery and the sailors who were impressed or even elected to enter men-of-war during wartime. This information is vital to assessing the volatility of crews. The one other advantage of the mid-century muster rolls is that the more regular ones list the last ship on which the seaman sailed, giving historians a chance to measure persistence, an issue that maritime historians have seldom addressed.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.021
Scholarly communication0.0040.005
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0190.002

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 head0.110
GPT teacher head0.408
Teacher spread0.298 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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Same topicContemporary Sociological Theory and PracticeFrench-language works237,207