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Record W3044801770 · doi:10.7202/1071942ar

Hunted and Honoured: Animal Representations in Precontact Masks from the Nunalleq Site, Southwest Alaska

2019· article· en· W3044801770 on OpenAlexvenueno aff
Anna Mossolova, Rick Knecht, Édouard Masson-MacLean, Claire Houmard

Bibliographic record

VenueÉtudes/Inuit/Studies · 2019
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
FundersArts and Humanities Research Council
KeywordsSubsistence agricultureEthnographyArchaeological recordEthnohistoryArchaeologyAnthropologyHistoryGeographySociology

Abstract

fetched live from OpenAlex

The precontact lifeways of Yup’ik people in Southwest Alaska were poorly known until the 2009–2018 excavations at the Nunalleq site near the village of Quinhagak. Until recently, the site dating from around AD 1400–1675 had been locked in permafrost that secured the extraordinary preservation of organic artefacts and faunal materials. As in many other hunter-gatherer communities across the North, animals were economically and culturally central to the lives of Nunalleq residents. This multidisciplinary paper combines the ethnographic study of unearthed artefacts with the results of subsistence and dietary studies at Nunalleq, and demonstrates how precontact Yup’ik ecologies were embodied in material culture, particularly in the iconography of ceremonial objects such as masks and mask attachments. Early ethnographic records and collections suggest that Yup’ik masks were often complex in structure and imagery, and can be considered miniature models of a multilayered and ensouled universe. Masks and other material culture representations highlight the way humans and animals are related and ontologically linked in Yup’ik worldviews. By taking this approach, this study aims to better understand the role of animals in the belief systems and lifeways of a precontact Nunalleq community.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.918
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.062
GPT teacher head0.393
Teacher spread0.331 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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