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Record W4375953234 · doi:10.3167/9781800739741

WAR STORIES: Reading Plains Indian Biographic Rock Art

2023· book· en· W4375953234 on OpenAlexaboutno aff
James D. Keyser, David A. Kaiser

Bibliographic record

VenueBerghahn Books · 2023
Typebook
Languageen
FieldSocial Sciences
TopicArchaeology and Rock Art Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLexiconRock artNarrativeReading (process)HistoryKey (lock)Visual artsLinguisticsLiteratureArtArchaeologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Plains Indian biographic rock art can be “read” by those knowledgeable in its lexicon. Presented is a lexicon of imagery, conventions, and symbols used by Plains Indians to communicate their warfare and social narratives. The reader is introduced to Plains Indian “warrior” art in all media, biographic art as picture writing is explained, and the lexicon is described, providing a pictographic “dictionary,” and explains conventions and connotations. Finally, it illustrates four key examples of how these narratives are read by the observer. Familiarity with the lexicon will enable interested scholars and laypersons to understand what are otherwise enigmatic rock art drawings found from Calgary, Alberta through ten U.S. states, and into the Mexican state of Coahuila.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.047
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.005
Scholarly communication0.0060.005
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.027
GPT teacher head0.289
Teacher spread0.263 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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