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Ancient Near Eastern Treaties/Loyalty Oaths and Biblical Law

2019· reference-entry· en· W2985132831 on OpenAlexaff
William S. Morrow

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsQueen's University
Fundersnot available
KeywordsRatificationTreatyHebrew BibleCovenantHittite languageScholarshipLoyaltyPolitical scienceLawBiblical studiesHistoryLiteratureAncient historyArt

Abstract

fetched live from OpenAlex

The chapter surveys evidence from West Asian and Mesopotamian sources, focusing on texts written in Akkadian, Aramaic, Hebrew, and Hittite. Although modern scholarship distinguishes international treaties from domestic loyalty oaths, the difference is not recognized in ancient Near Eastern documents. Both types of agreements are discussed under five headings: relationships between treaties and other legal documents; the concept of the vassal treaty; forms; ratification; and covenants with gods. Each heading points to areas of ongoing research and discussion. These include the administration of oaths; difficulties in identifying vassal treaties; origin and development of treaty forms; and motivations for producing treaty documents. Among issues relevant to biblical studies are links between treaties and dynastic promises; categorization of biblical treaty texts; the role of sacrifice; and connections between covenants and vows.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.011
Science and technology studies0.0030.006
Scholarly communication0.0060.004
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.043
GPT teacher head0.231
Teacher spread0.187 · 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
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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