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Record W2472259548 · doi:10.15173/nexus.v23i1.28

Health Risks Among the Elite: An Ecological-Political Approach to Life in Ancient Pompeii

2015· article· en· W2472259548 on OpenAlexaffvenue
Katherine G. Bishop

Bibliographic record

VenueNEXUS The Canadian Student Journal of Anthropology · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicPaleopathology and ancient diseases
Canadian institutionsMcMaster University
Fundersnot available
KeywordsEliteOsteologyContext (archaeology)BioarchaeologyPaleopathologyGeographyPopulationMedicineEnvironmental healthArchaeologyPoliticsPolitical science

Abstract

fetched live from OpenAlex

This investigation challenges the assumption that reduced health is attributed to lower class individuals only. Skeletal indicators of illness and disease found on the osteological remains at ancient Pompeii are associated with an elite diet. The chronic conditions include dental caries, brucellosis, dental abrasion, dental abscesses, fluorosis, Forestier’s Disease (DISH), Hyperostosis Frontalis Interna (HFI), spina bifida occulta, and tuberculosis. The volcanic eruption in 79 CE provided exceptional preservation of the remains of flora, fauna, artwork, and architecture, which are used to recreate the diet and lifestyle of members of Pompeian society. Past analyses of the osteological remains include the disarticulated skeletal elements in the bath complexes and the burial of a large family within a dwelling at Pompeii. These remains are representative of a sample of the living population and contain paleopathological markers that are attributed to the consumption of food items specific to an elite diet. This case study demonstrates another avenue of research within the ecological-political model in archaeological context and illustrates many health risks associated with the lifestyle of members of higher socioeconomic status.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score0.927

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.126
GPT teacher head0.366
Teacher spread0.239 · 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

Citations0
Published2015
Admission routes2
Has abstractyes

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