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Record W2461729840 · doi:10.1080/0144039x.2016.1206285

Granville Sharp’s manuscript letter to the admiralty on the <i>Zong</i> massacre: a new discovery in the British Library

2016· article· en· W2461729840 on OpenAlexfundno aff
Michelle Faubert

Bibliographic record

VenueSlavery and Abolition · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsExtant taxonCrewHistoryLawClassicsPolitical scienceArchaeologyBiology

Abstract

fetched live from OpenAlex

During research at the British Library (BL) in May 2015, I discovered a previously unknown manuscript letter from 1783 by Granville Sharp to the Lords Commissioners of the Admiralty. The document concerns the case of the infamous Zong slave ship: Sharp wrote the letter to demand that the Admiralty bring murder charges against the crew of the Zong. This article argues that the BL letter is the only known fair-copy of Sharp’s letter to the Admiralty, that the only other extant copy at the National Maritime Museum is a rough draft that should be considered as secondary to the BL letter, and that Sharp intended to publish the letter to the Admiralty.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.182
Teacher spread0.164 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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