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Record W7117315837 · doi:10.47589/adalya.1849528

Blood Money in the Old Assyrian Colony Period and Two Unpublished Kültepe Texts Regarding Blood Money

2025· article· W7117315837 on OpenAlexaboutno aff
Hakan EROL, Koray Toptaş

Bibliographic record

VenueADALYA · 2025
Typearticle
Language
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsnot available
FundersTürkiye Bilimsel ve Teknolojik Araştırma Kurumu
KeywordsPeriod (music)MesopotamiaPoliticsInterpretation (philosophy)Quarter (Canadian coin)Compensation (psychology)

Abstract

fetched live from OpenAlex

The Kültepe tablets primarily consist of the personal archives of Assyrian merchants and are predominantly commercial and economic in nature. However, these documents also serve as the principal written sources for understanding the social, cultural, legal, and political structures of Anatolia and Northern Mesopotamia during the first quarter of the second millennium BC. This study examines the legal concept of “blood money” (d mum), a compensation mechanism designed to address the financial or moral losses incurred by merchants in cases of homicide involving either an Assyrian or a local during commercial activities. The study explores the conditions under which this practice emerged, the procedural framework governing its implementation, and the variations in its application between Assyrians and the native population. Additionally, the research presents the transliteration, translation, and interpretation of two previously unpublished documents related to blood money.

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)0.002
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: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.012
GPT teacher head0.225
Teacher spread0.213 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueADALYASame topicAncient Near East HistoryFrench-language works237,207