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Record W2906869535 · doi:10.1017/qua.2018.113

Faunal remains from recent excavations at Shishan Marsh 1 (SM1), a Late Lower Paleolithic open-air site in the Azraq Basin, Jordan

2019· article· en· W2906869535 on OpenAlexaff
James T. Pokines, Adrian M. Lister, Christopher Ames, April Nowell, Carlos E. Córdova

Bibliographic record

VenueQuaternary Research · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsEquusGeologyMarshPleistoceneFaunal assemblageArchaeologyWetlandStructural basinMudflowCaveEcologyGeographyPaleontologyFaunaGeomorphologyLandslide

Abstract

fetched live from OpenAlex

Abstract Excavations from 2013 to 2015 at the site of Shishan Marsh 1 (SM1) in the Azraq Basin of eastern Jordan have yielded substantial late middle Pleistocene lithic assemblages in association with faunal remains. Faunal preservation is poor, but multiple taxa have been identified, including cf.Panthera leo,Gazellasp.,Boscf.primigenius,Camelussp.,Equusspp., cf.Stephanorhinus hemitoechus,Palaeoloxodoncf.recki, andElephascf.hysudricus. The overall Azraq habitat may have been most similar to a savanna ecosystem, with a mixture of open grassland/shrub habitats and more closed vegetation along the wetlands margins. These taxa were drawn to the relatively lush oasis environment, where they were a dietary resource of the hominin groups exploiting the wetlands resources.

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 score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.099
GPT teacher head0.394
Teacher spread0.296 · 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

Citations21
Published2019
Admission routes1
Has abstractyes

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