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Exploring Ontologies of the Precontact Americas

2024· book· en· W4403194039 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Press of Florida eBooks · 2024
Typebook
Languageen
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

This volume demonstrates how researchers in bioarchaeology and mortuary archaeology can work to better understand concepts of life and death in past societies of the Indigenous Americas. Through case studies that apply the “ontological turn” to human funerary and skeletal remains, contributors set aside Western views of reality, nature, and personhood to explore how people of various cultures understood existence and the human body. Contributors examine mortuary records from Inuit groups in Labrador and Greenland, Hopewell culture in the Lower Illinois River Valley, and Weeden Island and Puebloan traditions in the United States Southeast and Southwest. They look at the Paquimé community in Mexico, iconography of the Maya civilization, the demographics of Inka populations, and an ancient village on the Amazon River in Brazil. With attention to the viewpoints of these cultures, these essays deconstruct the boundaries between human remains and other interred artifacts, the living and the dead, and other binaries rooted deeply in Western science. <italic>Exploring Ontologies of the Precontact Americas</italic> reminds readers that their own ontological perspectives affect how they interpret the past. By considering diverse, non-Western ontologies and engaging with novel social theories of the body, this volume inspires new understandings of precontact 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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.953
Threshold uncertainty score0.571

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 head0.116
GPT teacher head0.213
Teacher spread0.097 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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