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Levallois

2020· reference-entry· en· W4234135997 on OpenAlexaff
Michael Chazan

Bibliographic record

VenueOxford Research Encyclopedia of Anthropology · 2020
Typereference-entry
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsArtifact (error)Lithic technologyProcess (computing)Computer scienceHistoryArchaeologyArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Levallois refers to a way of making stone tools that is a significant component of the technological adaptations of both Neanderthals and early modern humans. Although distinctive Levallois artifacts were identified already in the 19th century, a consensus on the definition of the Levallois and clear criteria for distinguishing Levallois from non-Levallois artifacts remain elusive. At a general level, Levallois is one variant on prepared core technology. In a prepared core approach to stone tool manufacture, the worked material (the core) is configured and maintained to allow for the production of detached pieces (flakes) whose morphology is constrained by the production process. The difficulty for archaeologists is that Levallois refers to a particular process of manufacture rather than a discrete finality. The study of Levallois exposes limitations of typological approaches to artifact analysis and forces a consideration of the challenges in creating a solid empirical basis for characterizing technological processes.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.037
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.005
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0370.006

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 head0.085
GPT teacher head0.412
Teacher spread0.327 · 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 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

Citations2
Published2020
Admission routes1
Has abstractyes

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Same venueOxford Research Encyclopedia of AnthropologySame topicPleistocene-Era Hominins and ArchaeologyFrench-language works237,207