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Record W4362568652 · doi:10.1163/21915784-bja10023

Kathu Pan 6: Observations on the First Known Buried High-Density Open-Air Holocene Occupation on the Southern Margin of the Kalahari Basin

2023· article· en· W4362568652 on OpenAlexafffund
Wendy Black, Precious Chiwara-Maenzanise, Liora Kolska Horwitz, Steven J. Walker, Michael Chazan

Bibliographic record

VenueJournal of African Archaeology · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHoloceneExcavationArchaeologyStructural basinGeologyArtifact (error)Open airFaunaOptical datingCapeMargin (machine learning)GeographyPhysical geographyPaleontologyEcology

Abstract

fetched live from OpenAlex

Abstract This paper presents preliminary results from a newly excavated open-air Later Stone Age site attributed to the Wilton Industry at Kathu Pan 6 in the Northern Cape Province of South Africa. Basic data on the lithics, fauna (including a large ivory fragment), and ostrich eggshell (including beads) recovered during two seasons of excavation (2016–2017) are presented and this material is contextualized through comparison with neighboring sites. Spatial analysis of the artifact distribution from the small exposure from the 2017 season suggests a spatially structured occupation. The Wilton open-air occupation of Kathu Pan 6 offers a new perspective on the poorly understood Later Stone Age of the southern fringes of the Kalahari.

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)0.001
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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.002
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 head0.052
GPT teacher head0.286
Teacher spread0.235 · 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

Citations2
Published2023
Admission routes2
Has abstractyes

Explore more

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