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Record W2281809573 · doi:10.1016/j.ijpp.2016.01.001

An exploration of interpersonal violence among Holocene foragers of Southern Africa

2016· article· en· W2281809573 on OpenAlexafffund
Susan Pfeiffer

Bibliographic record

VenueInternational Journal of Paleopathology · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHoloceneDescendantInterpersonal violenceGeographyEthnologyHistoryDemographyArchaeologyPoison controlSuicide preventionSociologyMedicine

Abstract

fetched live from OpenAlex

A common assertion that humans are inherently aggressive toward one another is based in part on interpretation of anthropological evidence, including observational reports of Khoesan immediate-return hunter-gatherers of southern Africa. Bioarchaeological evidence from 446 dated South African Cape Holocene skeletons representing Khoesan ancestors provides an opportunity to review approaches to interpersonal conflict over thousands of years. A synthesis of paleodemographic and skeletal information suggests a complex picture. The pattern noted among descendant Khoesan groups of male killings via poison arrows is not discernable in ancestral demography. Published reports of healed cranial trauma are not geographically localized; most are adult men, and some can be parsimoniously explained as the outcomes of accidents. Skeletons with unhealed perimortem lesions are limited to the southwestern region, at dates around 2500 years ago; most are women and children. The perimortem skeletal trauma is contemporaneous with a period during which a transitory decline in adult stature occurs throughout the Cape but not in the region with the apparent violence. This suggests a novel, transient social pattern in that community. In sum, the disparate patterns of antemortem and perimortem trauma among these Holocene foragers support a narrative that emphasizes the situational nature, and the general rarity, of interpersonal violence.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.995

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 studies0.0000.008
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.283
Teacher spread0.243 · 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

Citations36
Published2016
Admission routes2
Has abstractyes

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