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Record W2805307445 · doi:10.1093/library/19.2.131

The Biblical Genealogies of the King James Bible (1611): Their Purpose, Sources, and Significance

2018· article· en· W2805307445 on OpenAlexaff
Kirsten Macfarlane

Bibliographic record

VenueThe Library · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsTrinity College
Fundersnot available
KeywordsScholarshipAudience measurementContext (archaeology)ThrivingHistoryReading (process)LiteratureClassicsGenealogySociologyArtPhilosophyLinguisticsLawSocial scienceArchaeologyPolitical science

Abstract

fetched live from OpenAlex

Abstract This article provides a systematic analysis of the genealogies prefixed to the King James Bible (1611), giving the first examination of their contemporary significance and purpose, as well as the collaboration between the Hebraist Hugh Broughton and the cartographer John Speed that produced them. By placing the diagrams within the context of Speed and Broughton's greater interests, as well as through the use of several previously unstudied drafts, it will show that the genealogies had a clear polemical function, emerged from a subsidiary of the thriving field of chronology, and can be placed within a longstanding visual tradition capable of explaining many of the peculiarities on which modern scholars have remained silent. Finally, it will argue that the genealogies were an ingenious kind of ‘reading technology’ produced through a synthesis of sacred and secular scholarship that aimed to transmit the products of learned, neo-Latin scholarship to an unlearned, English readership.

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)0.012
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: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0110.013
Science and technology studies0.0030.010
Scholarly communication0.0070.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.030
GPT teacher head0.202
Teacher spread0.171 · 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
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

Citations16
Published2018
Admission routes1
Has abstractyes

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