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Record W3129714506 · doi:10.1002/oa.2974

Life and death of four individuals in the destruction of the Late Bronze Age city of Azekah, Israel

2021· article· en· W3129714506 on OpenAlexafffund
Karl Berendt, Sandra Garvie‐Lok, Pamela Mayne Correia, Oded Lipschits, Yuval Gadot

Bibliographic record

VenueInternational Journal of Osteoarchaeology · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsUniversity of Alberta
FundersFaculty of Graduate Studies and Research, University of AlbertaSocial Sciences and Humanities Research Council of Canada
KeywordsOsteologyBronze AgeContext (archaeology)BioarchaeologyGrave goodsArchaeologyHistoryAncient historyDemographySociology

Abstract

fetched live from OpenAlex

Abstract In this article, we discuss the skeletal remains of four individuals discovered trapped below destruction debris of Building T2/627 at the site of Tel Azekah, Israel, dating to the late 12th Century BCE. Osteological analysis shows that these individuals suffered from anemia and other systemic illness during their lives. Patterns of musculoskeletal stress markers show that they were likely highly active; in the context of artifacts recovered from the building, we suggest that specific activities included grinding grain and carrying heavy objects. Heat damage to the remains shows that the bodies were extensively burned. The archaeological and osteological evidence suggest that a high temperature fire fueled by flammable goods stored in the building caused the building to collapse on top of these individuals, preserving their burnt remains in situ. Together, these lines of evidence enhance our understanding of these individuals' ways of life and manners of death against the backdrop of the “crisis years” of the Late Bronze Age Collapse during the end of the 2nd Millennium BCE.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.048
GPT teacher head0.280
Teacher spread0.233 · 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 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

Citations4
Published2021
Admission routes2
Has abstractyes

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