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Record W1967650907 · doi:10.2307/2694244

Interpreting Variability in Thule Inuit Architecture: A Case Study from the Canadian High Arctic

2001· article· en· W1967650907 on OpenAlexaffabout
Peter Dawson

Bibliographic record

VenueAmerican Antiquity · 2001
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsWhalingArcticGeographyArchitectureArchaeologyThe arcticWhaleRange (aeronautics)Physical geographyHistoryEcologyOceanographyGeologyEngineeringBiology

Abstract

fetched live from OpenAlex

The semisubterranean whale-bone house is one of the most recognizable aspects of Thule Inuit culture. Following their arrival in the Canadian Arctic approximately 1,000 years ago, Thule peoples built these impressive and often enigmatic dwellings for occupation during the long winter months. Variability in the architectural properties of semisubterranean house forms has traditionally been used by archaeologists to infer cultural and historical relationships between regions, and establish seasonal and/or functional distinctions in usage. An analysis of 31 semisubterranean houses from two Thule winter village sites in the Canadian High Arctic using multivariate statistics and computer-aided drafting reveals a range of architectural variability that may represent attempts by Thule builders to accommodate 1) fluctuations in the availability of key building materials, 2) differences in household mobility, or 3) whaling-related social differentiation between households. These results have important implications for understanding the relationships among house form, environment, and culture in Thule Inuit society.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.358
Teacher spread0.334 · 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 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

Citations30
Published2001
Admission routes2
Has abstractyes

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