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Record W4206065635 · doi:10.1093/jaarel/lfac001

Exploring the Human and Animal Relationship in the Hebrew Bible Through the Blood Prohibition

2022· article· en· W4206065635 on OpenAlexaff
Peter Sabó

Bibliographic record

VenueJournal of the American Academy of Religion · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAnthropocentrismAmbivalenceKinshipHebrew BibleHebrewIdeologyValue (mathematics)PhilosophyLiteratureTheologyEnvironmental ethicsSociologyArtBiblical studiesPsychoanalysisAnthropologyLawPsychologyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Abstract This paper argues that the primary purpose of the blood prohibition in the Hebrew Bible is not to reflect ethical sensitivity toward animals; rather, it is part of an anthropocentric ideology that promotes both human ascendancy over, and kinship with, animals. The blood prohibition places a high value on animal life, but it does this to justify, and socially authorize, the eating of animals while simultaneously alleviating the deeply embedded human guilt over killing them. To display this, I contrast how animals and blood function in the Priestly texts of the Hebrew Bible versus the non-Priestly texts—focusing on the primeval history of Genesis and the book of Leviticus. Most tellingly, the non-Priestly material in the primeval history contains no blood prohibition and thus does not contain the profound ambivalence toward animals and eating them that the Priestly material does.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.031
Scholarly communication0.0050.004
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.110
GPT teacher head0.305
Teacher spread0.195 · 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 designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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