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Record W2186061969

Being an "ass": An Early Bronze Age burial of a donkey from Tell es-Safi/Gath, Israel

2013· article· en· W2186061969 on OpenAlexaff
Haskel J. Greenfield, Itzhaq Shai, Aren M. Maeir

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsArchaeologyBronze AgeExcavationAncient historyDonkeyBronzeGeographyGeologyHistory
DOInot available

Abstract

fetched live from OpenAlex

Burials of domestic asses appear in the Early Bronze Age (EBA) of the Near East, yet there is little understanding of the nature and importance of such burials. Usually, they are treated relatively simplistically as the remains of adored pets (if carefully interred) or sick animals who have lost their usefulness (e.g. as beasts of burden). Also, the relation- ship between the burials and the surrounding deposits and structures is rarely clear (e.g. were they buried in an abandoned area of sites or purposely buried beneath floors). In this paper, we discuss the excavation and analytical results of the burial of an ass found under the floor of an EB III house at the site of Tell es-Safi/Gath, Israel. By integrating the results of zooarchaeological, architectural, stratigraphic, and typochronological analyses to this bioarchaeological deposit, it is clear that the ass was deliberately bound, slaughtered and buried as a foundation deposit under the EB III house. e importance of this taxon to the religious and economic realms of the EBA of the Near East is discussed. If this ap- proach is applied to the other ass burials dispersed across the region, their significance is clarified.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.011
GPT teacher head0.187
Teacher spread0.176 · 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 designObservational
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

Citations14
Published2013
Admission routes1
Has abstractyes

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