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Record W2013898886 · doi:10.1002/oa.1127

Possible cases of scalping from pre‐hispanic highland Peru

2009· article· en· W2013898886 on OpenAlexaff
J. Marla Toyne

Bibliographic record

VenueInternational Journal of Osteoarchaeology · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsTrophyOsteologyContext (archaeology)SkullCranial vaultCranial traumaArchaeologyCraniaBioarchaeologyPaleopathologyInterpersonal violenceScalpGeographyMedicinePoison controlInjury preventionSurgery

Abstract

fetched live from OpenAlex

Abstract For years, the pre‐Hispanic Chachapoya of Northern Peru have been described as the ‘Warriors of the Clouds’. A more detailed look at newly excavated osteological samples from the highland site of Kuelap allows us to better examine the types of traumatic injuries among the Chachapoya. This paper describes an individual with evidence of a recent scalp removal including cut marks encircling the vault and a large area of active inflammatory response due to exposure of the outer table. The degree of osseous response and a small area of healing indicate short‐term survival. A second fragmentary skull demonstrates similar features but more advanced healing. The location and patterning of the cut marks are consistent with North American Indian pre‐historic and historic cases of scalping. The skulls of these two individuals provide the first osteological evidence of scalp removal from a pre‐Hispanic South American Andean context, although it is difficult to determine the motivation whether for therapeutic treatment or trophy taking. These cases, along with other evidence of interpersonal violence and cranial trauma, serve to elucidate the possible volatile nature of cultural contact between this region and lowland Amazonian tribes, where scalps and trophy heads were commonly taken in raids. Copyright © 2009 John Wiley & Sons, Ltd.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.008
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 head0.022
GPT teacher head0.284
Teacher spread0.262 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations18
Published2009
Admission routes1
Has abstractyes

Explore more

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