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Record W2007697681 · doi:10.1097/paf.0b013e3181873ca6

Jivaro Tsantsas or Shrunken Head

2009· article· en· W2007697681 on OpenAlexaff
Anny Sauvageau, Célia Kremer, Valérie Brochu, François Julien, Stéphanie Racette

Bibliographic record

VenueAmerican Journal of Forensic Medicine & Pathology · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHead (geology)BattlefieldAdversaryArtLock (firearm)HistoryPaleontologyArchaeologyComputer scienceAncient historyBiologyComputer security

Abstract

fetched live from OpenAlex

Forensic scientists sometimes apply knowledge and modern techniques to various historical challenges. Reported here is an unusual expertise of a shrunken head authenticity evaluation. Tsantsas, or shrunken head, are an ancient traditional technique of the Jivaro Indians from Northern Peru and Southern Ecuador. Tsantsas were made from enemies' heads cut on the battlefield. Then, during spiritual ceremonies, enemies' heads were carefully reduced through boiling and heating, in the attempt to lock the enemy's spirit and protect the killers from spiritual revenge. However, forgers have made fake tsantsas out of sloth heads, selling them as curios to international travelers. Morphologic criteria can help in the distinction of forged and authentic tsantsas. Presence of sealed eyelids, pierced lips with strings sealing the mouth, shiny black skin, a posterior sewn incision, long glossy black hair, and lateral head compression are characteristic of authentic tsantsas. On the other hand, fake tsantsas usually present few or none of those criteria. To establish authenticity of the shrunken head, we used all of the above-mentioned morphologic criteria along with microscopic hair examination and DNA analysis.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.039
GPT teacher head0.316
Teacher spread0.277 · 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 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

Citations12
Published2009
Admission routes1
Has abstractyes

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