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Record W132677935 · doi:10.15173/nexus.v21i1.213

Health and morbidity in ancient Chilean populations: Preliminary perspectives using subadult data

2009· article· en· W132677935 on OpenAlexaffvenue
Christine E Boston

Bibliographic record

VenueNEXUS The Canadian Student Journal of Anthropology · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsSubsistence agricultureBioarchaeologyGeographyFishingAgriculturePrehistoryDemographySocioeconomicsEthnologyHistoryEcologyArchaeologyBiologySociology

Abstract

fetched live from OpenAlex

Bioarchaeological studies have suggested a general trend whereby the health of past populations degraded as they transitioned from a nomadic, hunter-gatherer lifestyle to a sedentary, agricultural lifestyle. Ancient societies of northern Chile provide a unique perspective on this debate in that while the earliest societies relied on hunting and gathering they were at the same time sedentary. Furthermore, later agricultural Chilean societies had relatively balanced diets since they also relied on fishing. Thus, this study examined four skeletal markers of health on sixty-one subadults ranging from the Archaic (7000-1000 B.C.) to Late Horizon (A.D. 1476-1532) periods in order to prove the impact of subsistence strategies and social organization on individuals’ health. These health markers were cribra orbitalia and porotic hyperostosis, trauma, dental pathological conditions, and infections. Despite the small sample size, this study gives a glimpse of childhood health conditions and morbidity patterns in northern Chile. The results showed no statistical differences of morbidity patterns between preagricultural and agricultural societies, a contradiction to previous assumptions about morbidity differences between preagricultural and agricultural societies.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.121
GPT teacher head0.375
Teacher spread0.254 · 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
Published2009
Admission routes2
Has abstractyes

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Same venueNEXUS The Canadian Student Journal of AnthropologySame topicForensic Anthropology and Bioarchaeology StudiesFrench-language works237,207