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Record W33473295 · doi:10.1017/s1045663500007677

Stingray Spine Use and Maya Bloodletting Rituals: A Cautionary Tale

2008· article· en· W33473295 on OpenAlexaff
Helen R. Haines, Philip W. Willink, David Maxwell

Bibliographic record

VenueLatin American Antiquity · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVenomous Animal Envenomation and Studies
Canadian institutionsTrent University
Fundersnot available
KeywordsStingrayMayaBloodlettingEnvenomationSPINE (molecular biology)MedicineHistoryBiologyArchaeologyZoologyPathologyAlternative medicineFisheryBioinformatics

Abstract

fetched live from OpenAlex

Stingray spine use in Maya human bloodletting rituals has long been an accepted phenomenon. Recent work has suggested that intact spines may have been used and that the symptoms resulting from envenomation were an important part of the bloodletting ritual. Zoological and medical research, however, indicate that stingray toxins pose a more serious threat to human health than mere pain and inflammation. Medical studies conducted to track injuries resulting from stingray attacks report that some two-thirds of all cases result in tissue necrosis. Reconciling the use of stingray spines by the Maya with the physiological effects they present is crucial if we are to understand how the Maya viewed toxic marine materials and why they incorporated them in their ritual behaviors. Correlations between political events and stingray spine use may hold the key for understanding how these objects were articulated into the larger social and political sphere. We provide a discussion of the effects of stingray envenomation and the health risks inherent to the ritual use of stingray spines as bloodletters among the ancient Maya. Finally, we offer some possible explanations for the role of cleaned and defleshed spines in ritual contexts.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.479

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.260
Teacher spread0.236 · 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.

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

Citations19
Published2008
Admission routes1
Has abstractyes

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