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Record W2909606749

Bioarchaeology in Greece: Breathing Life into the Early Helladic and Archaic Skeletal Assemblages from Klenia

2019· dissertation· en· W2909606749 on OpenAlexfundno aff
Emily Schaljo

Bibliographic record

VenueUWSpace (University of Waterloo) · 2019
Typedissertation
Languageen
FieldArts and Humanities
TopicPaleopathology and ancient diseases
Canadian institutionsnot available
FundersUniversity of Waterloo
KeywordsBioarchaeologyGeographyArchaeologyArtAncient historyHistory
DOInot available

Abstract

fetched live from OpenAlex

Rescue excavations between 2014 and 2015 in Klenia, Corinthia, Greece uncovered an assemblage of human skeletal remains from one Archaic (750-479 BCE) and four Early Helladic (2650-2200 BCE) tombs. Until recently, bioarchaeology and the comprehensive analysis of human skeletal remains in Greece has been uncommon. However, theoretical and technological developments in bioarchaeology have highlighted the importance of studying these remains, as they provide insights into the biocultural lifeways of individuals of the past. The present research provides basic osteobiographical data for the human skeletal remains recovered from the Klenia tombs and explores their geographical and temporal context in order to provide situated interpretations and insights into the lives of these individuals. The results of this work reveal information pertaining to the life and possible weaving and cooking activities of an older adult female from the Archaic period, and to the lives of those interred in the Early Helladic graves, which likely represent a familial or social kinship. The Early Helladic skeletal remains within their context suggest an agricultural lifestyle. Further, the discovery of infant skeletal remains within these tombs highlights improvements in bioarchaeological recovery methods, and suggests the inclusion of infants in commingled tombs within extramural cemeteries. This alters previous understandings of intramural infant burial during the Early Helladic period in Greece.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.767

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 studies0.0000.001
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 head0.011
GPT teacher head0.195
Teacher spread0.185 · 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 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
Published2019
Admission routes1
Has abstractyes

Explore more

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