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Record W3214023119 · doi:10.1016/j.jasrep.2021.103232

Cultural filiations between the Virú communities, Early Intermediate Period, northern coast of Peru: Recent contributions from ceramic technology

2021· article· en· W3214023119 on OpenAlexafffund
Alicia Espinosa, Isabelle Druc, Jean‐François Millaire, Gabriel Prieto, Leonardo Arrelucea

Bibliographic record

VenueJournal of Archaeological Science Reports · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Wisconsin-MadisonAmerican Museum of Natural History
KeywordsPotteryPolityArchaeologyPeriod (music)PetrographyRiver valleyGeographyCeramicEthnologySociologyPolitical scienceGeologyArtLawPoliticsAestheticsMineralogy

Abstract

fetched live from OpenAlex

The Virú populations are now believed to have formed a centralized polity in the Virú Valley, which occasionally settled in neighboring regions, as in Pampa La Cruz in the Moche Valley, and Huaca Prieta in the Chicama Valley. Their presence is essentially established by their cultural marker: negative ceramic. However, little is known about the relations between these populations, and in particular about the technical traditions of potters, which would enable us to know if they belong to the same community of potters. We propose to test the hypothesis of a movement of Virú communities into adjacent valleys by a technological approach that seeks to reconstruct all the steps of the Virú ceramic production. The analysis of manufacturing traces combined with the petrographic study of pastes leads to the definition of a technical tradition shared and perpetuated by these communities, each producing its own pottery locally.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.245
Teacher spread0.228 · 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

Citations3
Published2021
Admission routes2
Has abstractno

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