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Record W4386510122 · doi:10.1017/laq.2023.40

The <i>Chaîne Opératoire</i> as an Approach to Distinguish between the Ceramic Production of the Viru and the Moche Polities on the North Coast of Peru

2023· article· en· W4386510122 on OpenAlexaff
Alicia Espinosa, Isabelle Druc, Jean‐François Millaire, Gabriel Prieto, Edgar Bracamonte, Walter Alva

Bibliographic record

VenueLatin American Antiquity · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversité du Québec à Trois-RivièresWestern University
Fundersnot available
KeywordsArchaeologyCeramicMeaning (existential)GeographyEthnologyHistoryChemistryEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract Ceramics play a central role in the debates around the relationship between the Viru and the Moche. A recent model considers Negative and Moche-decorated ceramics produced by potters affiliated with the elites to be the cultural markers of the Viru and Moche populations, respectively. Due to the similarity of Viru and Moche plain-wares and the presence of Castillo Decorated ceramics in Viru and Moche contexts, this model sees both types of ceramics as domestic traditions, produced by independent potters and sharing a common technique. The research we present here supports this recent model by reconsidering the social and cultural meaning associated with these ceramic types: it uses a novel approach for South America of reconstructing the chaîne opératoire by studying the traces visible on ceramics at a macroscopic and microscopic scale. The study demonstrates how these potters used their own traditions to produce decorated and undecorated ceramics. Furthermore, we found that Castillo Decorated is a type produced only by Viru potters, and we argue that its presence in Moche contexts is evidence of the numerous exchanges maintained by these two populations.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.223
Teacher spread0.205 · 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 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

Citations5
Published2023
Admission routes1
Has abstractyes

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