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Record W4416224474 · doi:10.1080/17585716.2025.2585706

Precious People: Indigenous Medical-Spiritual Relations in the Archaeology of Maya Childhood

2025· article· en· W4416224474 on OpenAlexaff
Christina T. Halperin, Katherine Miller Wolf, Mateo Orrego López

Bibliographic record

VenueChildhood in the Past · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMayaIndigenousIndigenous cultureHistorical archaeology

Abstract

fetched live from OpenAlex

Previous studies of bodily ornaments from burial contexts have often fixated on notions of wealth, social inequality, and prestige. Although such considerations are often pertinent, our work provides a complementary perspective incorporating Indigenous and ladino (mestizo) medical-spiritual understandings of bodily ornaments. We find that this perspective is best understood through a focus on children. In particular, this paper examines the marine shell, bone, ceramic, and stone bracelets and necklaces of children from Late and Terminal Classic burials at the Maya site of Ucanal, Petén, Guatemala, and compares them to burials from a range of time periods in the same region of the eastern Maya Lowlands. In addition, by incorporating ethnographic and ethnohistoric research on Indigenous Maya and ladino practices, we underscore the relational understandings of Maya ornaments worn by children and their role in the articulation of caring relations between parents and their precious children, in repelling spiritual forces and winds carrying illnesses, and in the making of social persons. While attention and respect for Indigenous medical-spiritual practices are slowly but increasingly recognized in contemporary medical practices in Guatemala, Mexico, and elsewhere, archaeological perspectives also benefit from such perspectives on children and their well-being.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.716
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.214
Teacher spread0.208 · 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 designQualitative
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

Citations0
Published2025
Admission routes1
Has abstractyes

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