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Record W3198326495 · doi:10.3390/rel12090742

Slavery, the Hebrew Bible and the Development of Racial Theories in the Nineteenth Century

2021· article· en· W3198326495 on OpenAlexaff
Kevin Burrell

Bibliographic record

VenueReligions · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsBurman University
Fundersnot available
KeywordsEthosHebrew BibleInterpretation (philosophy)Context (archaeology)HistoryRacial hierarchyIdentity (music)PoliticsCognitive reframingSociologyRacismLiteratureGender studiesPhilosophyAestheticsPolitical scienceLawArtBiblical studiesArchaeology

Abstract

fetched live from OpenAlex

Racial ideas which developed in the modern west were forged with reference to a Christian worldview and informed by the Bible, particularly the Old Testament. Up until Darwin’s scientific reframing of the origins debate, European and American race scientists were fundamentally Christian in their orientation. This paper outlines how interpretations of the Hebrew Bible within this Christian Weltanschauung facilitated the development and articulation of racial theories which burgeoned in western intellectual discourse up to and during the 19th century. The book of Genesis was a particular seedbed for identity politics as the origin stories of the Hebrew Bible were plundered in service of articulating a racial hierarchy which justified both the place of Europeans at the pinnacle of divine creation and the denigration, bestialization, and enslavement of Africans as the worst of human filiation. That the racial ethos of the period dictated both the questions exegetes posed and the conclusions they derived from the text demonstrates that biblical interpretation within this climate was never an innocuous pursuit, but rather reflected the values and beliefs current in the social context of the exegete.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.017
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0100.032
Scholarly communication0.0050.004
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.277
Teacher spread0.266 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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