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Record W4220760293 · doi:10.1080/00310328.2022.2050094

Filling the gap: A microscopic zooarchaeological approach to changes in butchering technology during the Early and Middle Bronze periods at Tall Zirā´a, Jordan

2022· article· en· W4220760293 on OpenAlex
Haskel J. Greenfield, Jeremy A. Beller, Jane S. Gaastra, Dieter Vieweger

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePalestine Exploration Quarterly · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsSimon Fraser UniversityUniversity of Manitoba
Fundersnot available
KeywordsBronzeSouthern LevantBronze AgeArchaeologyAncient historyGeographyArtHistory

Abstract

fetched live from OpenAlex

The Early Bronze Age (3500–2000 bce) of the southern Levant experienced the development of bronze metal technology, but the rate and nature of its dissemination beyond the elite are unclear. In the southern Levant and elsewhere, based upon the microscopic analysis of butchering marks, it has been proposed that bronze slicing tools only begin to be used in quantities in the Middle Bronze. However, previous analyses have always lacked data sets from the Early Bronze IV/Middle Bronze I period (c. 2500–2000 bce). In this paper, we present the butchered animal bone data from the site of Tall Zirā´a (in the NW corner of Jordan) where there is a fuller chronological sequence for the Early and Middle Bronze Ages. These data provide a unique opportunity to investigate long-term changes in butchering practices in the southern Levant. The analysis demonstrates that the new (bronze) technology does not seem to be integrated into quotidian activities, such as the processing of animal carcasses, until well into the Middle Bronze Age (MB IIB). Until then, and in subsequent phases of the MB, the majority of butchering marks are made by stone implements.

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.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
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
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.267
Teacher spread0.222 · 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