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Record W4400973370 · doi:10.3368/aa.59.2.107

An Analysis of 600‐Year‐Old Gut‐Skin Parkas of the Early Thule Period from the Nuulliit Site, Avanersuaq, Greenland

2024· article· en· W4400973370 on OpenAlexaboutno aff
Anne Lisbeth Schmidt

Bibliographic record

VenueArctic Anthropology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsPeriod (music)ArchaeologyGeographyPhysical geographyAncient historyHistoryArt

Abstract

fetched live from OpenAlex

Abstract Three 600‐year‐old hooded gut‐skin parkas were excavated in 1947 at the settlement Nuulliit, situated in the North Water polynya between Ellesmere Island and Avanersuaq in northern Greenland. The parkas, radiocarbon dated to the 14th century AD, belong to the Thule Period Inuit, who migrated from the Bering Strait region through Arctic North America into northern Greenland after 1250 AD. This study compares the Nuulliit parkas with gut‐skin parkas collected from 1846–1945 among resident Inuit in Alaska and eastern Greenland. Further, a comparison is conducted with female and male fur‐skin parkas from Inuit in the Bering Strait region and Alaska. The analyses of the parkas’ cutting, sewing techniques, and material consumption show that the characteristic cut with double hood roots (inserted in the mid‐shoulders or directly connected to the hood), sleeve gussets, and vertical orientation of gut‐skin panels were used for at least 550 years among the Inuit.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.280

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.016
GPT teacher head0.310
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2024
Admission routes1
Has abstractyes

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