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Record W2749580936 · doi:10.1057/978-1-137-53825-3_10

Çatalhöyük, Archaeology, Violence

2017· book-chapter· en· W2749580936 on OpenAlexaff
Christopher J. Knüsel, Bonnie Glencross

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2017
Typebook-chapter
Languageen
FieldArts and Humanities
TopicViolence, Religion, and Philosophy
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsPerspective (graphical)Reading (process)SociologyHistoryCriminologyPsychologyEnvironmental ethicsPolitical scienceLawArtPhilosophy

Abstract

fetched live from OpenAlex

Issues of violence were, until recently, neglected in studies of the Neolithic. Evidence of conflict was not sought, and potentially linked finds were ascribed to a different (often ritualistic) cause or significance. René Girard’s perspective provides archaeologists with the opportunity to support a more literal reading of imagery with physical evidence that might support the mimetic thesis: that there is a relationship between violence and religion in the genesis and maintenance of culture. An outlet must be found to dissipate reprisal violence in human groups because, if left unchecked, reprisal violence resulting from desire of the same things, both materially and socially, would spiral out of control and threaten the stability and, ultimately, the continued existence of the social group, especially in earliest densely populated villages. The goal here is to present evidence based on the study of humans remains that support Girard’s thesis.

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 score0.014
Threshold uncertainty score0.035

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 studies0.0020.007
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.032
GPT teacher head0.237
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; 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
Published2017
Admission routes1
Has abstractyes

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