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Record W3153001531 · doi:10.24908/iqurcp.10041

Extispicy in Classical and Near Eastern Society

2018· article· en· W3153001531 on OpenAlexvenueno aff
Nicholas Gill

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsnot available
Fundersnot available
KeywordsDivinationCivilizationOrder (exchange)HistoryClassicsAncient GreekAncient egyptAncient historyArchaeologyLiteratureArt

Abstract

fetched live from OpenAlex

Liver consultation was a practice in which the liver of an animal would be examined in order to receive messages from the gods. Ancient peoples would often perform this type of ritual before important decisions, such as committing to war, or signing a peace treaty. Throughout this paper, I examine three different systems of liver consultation from antiquity in chronological order—beginning with Babylonian extispicy since it is the most ancient, then moving to Greek hepatoscopy, and finishing with Etruscan haruspicy.
 As the names of these systems of liver consultation are different (extispicy, hepatoscopy, and haruspicy), so too are the practices of each culture. In order to highlight these differences, I analyse five aspects of each civilization: 1) Their religion, and the place of liver consultation within it, 2) The priests or diviners who performed the consultation, 3) The visual sources and material remains relating to liver divination, 4) The ancient literary accounts about this practice, and 5) The system utilized by the diviners in order to read livers.
 In an attempt to reconstruct the work of ancient diviners, I have undertaken a practical examination of sheep livers in the Babylonian, Greek, and Etruscan methods. I examined five sheep livers, each in all three methods, in order to determine the extent that divinatory procedure altered the message of the liver to the respective diviners. I conclude my paper by comparing the findings about each culture and relating my experience in the role of the diviner.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.817
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.007
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.153
GPT teacher head0.351
Teacher spread0.198 · 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 teacher head, not a consensus.

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
Published2018
Admission routes1
Has abstractyes

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