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Record W7123549327 · doi:10.1080/00438243.2025.2599278

Insights into Late Ceramic Period lived experiences in Greater Coclé via human burials at Operation 5, Cerro Juan Díaz, Panamá

2024· article· en· W7123549327 on OpenAlexaff
Nicole E. Smith-Guzmán, Benoit Desjardins, Veronica Pace

Bibliographic record

VenueWorld Archaeology · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Tectonic Studies in Latin America
Canadian institutionsUniversité de Montréal
FundersSmithsonian Tropical Research InstituteSecretaría Nacional de Ciencia, Tecnología e InnovaciónSistema Nacional de Investigación, Secretaría Nacional de Ciencia, Tecnología e InnovaciónSmithsonian Institution
KeywordsPeriod (music)Lived experienceAssemblage (archaeology)PrehistoryPotteryExcavation

Abstract

fetched live from OpenAlex

To enhance our understanding of everyday people during the Late Ceramic Period in Panama, burials from Operation 5 at the Cerro Juan Díaz site (1050–1400 CE) are assessed within a biocultural approach. Here, burials cut through and overlay a pre-existing house floor to place the majority of the deceased in uniform extended, supine positions. Grave goods were only found with children, following similar patterns of special adornment of child burials during the Middle Ceramic Period. Relatively high frequencies of non-specific physiological stress markers evidenced widespread inflammation and anaemia, perhaps relating to social and environmental factors affecting sanitation, infectious disease risk, and food availability. Artificial cranial modification and activity-related dental wear suggest that body modification may have been used to reinforce cultural boundaries and that children may have used their teeth as tools. These inferences deepen knowledge of human experiences during this time and provide a basis for future research.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.253
Teacher spread0.232 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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