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Record W4293075248 · doi:10.15184/aqy.2022.53

Complicating an early state: a social network analysis of agents in Wari art (<i>c.</i>AD 700–850)

2022· article· en· W4293075248 on OpenAlex
Elizabeth Gibbon, Patricia J. Knobloch, Justin Jennings

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAntiquity · 2022
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsRoyal Ontario MuseumUniversity of Toronto
Fundersnot available
KeywordsIconographyState (computer science)PoliticsState formationSocial network analysisHistoryAnthropologyPolitical scienceArt historySociologyLawComputer science

Abstract

fetched live from OpenAlex

Processual models of the early state envisioned hierarchical societies with stable social and political structures. More recent research, however, has questioned this vision. Here, the authors explore Middle Horizon (AD 700–1000) Wari state iconography to provide an example of early state social and political organisation from the Central Andes. Social network analysis (SNA) of human figures (‘agents’) depicted in Wari art identifies links between individual agents, as visualised on objects and between the objects’ findspots. The results suggest that the Wari state was more heterarchical than previously imagined. Similar applications of SNA could be used to explore the iconographic evidence of other early, pre-literate states around the world.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.394
Teacher spread0.318 · 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