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Record W4392192229 · doi:10.1080/0144039x.2024.2315116

Jacob D. Green and Britain’s Nineteenth-Century Black Abolitionist Network

2024· article· en· W4392192229 on OpenAlexaboutno aff
Hannah-Rose Murray, Calvin Schermerhorn

Bibliographic record

VenueSlavery and Abolition · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsNonconformistBiographyHistoryExpatriatePublishingLawPolitical scienceSociologyEconomic historyPolitics

Abstract

fetched live from OpenAlex

Jacob D. Green’s speaking career in England (1863-66) is an exploration of how an independent, self-financed Black speaker became a networked abolitionist building on the achievements of other expatriate African American activists like Moses Roper and James Watkins. Born enslaved in Maryland, Green made serial escapes from enslavement in Kentucky and elsewhere in the United States, sojourning in Toronto before arriving in Lancashire at about age forty-eight with evidently few funds. Green appealed to cotton and woollen mill town residents to oppose enslavement and the Confederate States of America from where most of North-West England’s cotton originated. He initially lectured under the sponsorship of nonconformist ministers in Yorkshire and built a network that included ministers in the United Methodist Free Church, Congregational Union, capitalists, and tradespeople. Nonconformist sponsorship led to an 1864 move to Heckmondwike in the centre of his lecture circuit. He connected with those who sponsored other Black abolitionists, burgeoning his network by speaking in West Yorkshire towns and cities that had hosted African American orators before. As a networked abolitionist, he earned income from speaking and publishing an autobiography and may have died in England in 1866.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score0.673

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.008
GPT teacher head0.255
Teacher spread0.248 · 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
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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