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Record W4405534593 · doi:10.1017/9781108622288.005

Captives

2024· book-chapter· en· W4405534593 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicColonialism, slavery, and trade
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

This chapter focuses on six groups that were forced to migrate and become bound laborers at English sites of overseas expansion. It examines the poor, criminals, and prisoners of war from the British Isles forced into servitude, the indigenous people of the circum-Caribbean who wound up enslaved, enslaved West Africans from the Gold Coast, people sold into slavery in India during times of famine (especially on the Coromandel Coast), the Malagasy people of Madagascar sold for firearms, and the indigenous peoples of the Indonesian archipelago forced to labor for the East India Company. This chapter will stress the political and socioeconomic conditions that made these groups vulnerable to enslavement or other closely adjacent forms of bondage. The chapter highlights the ways in which the Little Ice Age created famine and political and social upheaval that shaped forced and free migration. It also emphasizes the added political destabilization that came with the expansion of global trade, the introduction of firearms as a trade good, and competition for access to coastal trades. This destabilization and change made people in the tropics more vulnerable to enslavement.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.421
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.002
Scholarly communication0.0070.006
Open science0.0020.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.4210.231

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 head0.031
GPT teacher head0.240
Teacher spread0.209 · 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 designQualitative
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

Citations0
Published2024
Admission routes1
Has abstractyes

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