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Record W7042389668

The PPNB chipped stone industries from Kharaysin (Zarqa Walley, Jordan): preliminary insights

2019· other· en· W7042389668 on OpenAlexaboutno aff

Bibliographic record

VenueDIGITAL.CSIC (Spanish National Research Council (CSIC)) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBlade (archaeology)Lithic technologySouthern LevantQuarter (Canadian coin)Period (music)
DOInot available

Abstract

fetched live from OpenAlex

The preliminary study of the Pre-Pottery Neolithic B (PPNB) chipped stone industries from Kharaysin (Zarqa Valley, North Jordan) sheds light on key aspects of lithic production during a period, the second half of the 9th millennium and the first quarter of the 8th millennium cal. BC, that remains poorly understood in the Southern Levant. The results help to fine-tune previous knowledge about the early stages of bidirectional blade technology (BBT) in the Southern Levant; a technology that constitutes one of the most, if not the most, significant and diagnostic elements of PPNB material culture records throughout the Levant and beyond (Cappadocia and Cyprus). In this sense, preliminary analysis indicates that BBT (‘predetermined-upsilon’ variant) was the main reduction sequence used for lithic production at PPNB Kharaysin, and high-quality flint types similar to the Huweijir-type flint were extensively used for that purpose. It has also been observed that different variants of core configuration and initial block management co-existed at the site, and that Jericho points and large sickle elements were the most common formal tools produced.

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)0.011
metaresearch head score (Gemma)0.055
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.055
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0020.003
Scholarly communication0.0050.002
Open science0.0050.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.063

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 head0.149
GPT teacher head0.336
Teacher spread0.186 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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Same venueDIGITAL.CSIC (Spanish National Research Council (CSIC))French-language works237,207