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Record W2132161290 · doi:10.14430/arctic4383

Prehistoric Neoeskimo Komatiks, Victoria Island, Arctic Canada

2014· article· en· W2132161290 on OpenAlexafffundvenueabout
James M. Savelle, Arthur S. Dyke

Bibliographic record

VenueARCTIC · 2014
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsMemorial University of NewfoundlandMcGill University
FundersNatural Resources Canada
KeywordsPeninsulaPrehistoryArchaeologyRadiocarbon datingArcticSpearGeologyGeographyOceanography

Abstract

fetched live from OpenAlex

The remains of five prehistoric Neoeskimo sleds—komatiks—were located during extensive ground surveys over several hundred square kilometres on the Wollaston Peninsula, western Victoria Island, Arctic Canada. The radiocarbon dates obtained on the remains range from 790 to 300 BP (cal. 736 – 300), which places the sleds within the Thule and Intermediate Copper Eskimo Period. Structurally, these sleds are similar to historic Copper Inuit and Netsilik Inuit sleds: they have wooden runners with lashing and front trace holes, wooden slats tapered at each end with lashing notches on each side, and antler sled shoes with drilled holes to receive pegs for attaching to the runners. However, the sleds range in length from 1.38 to 1.81 m, and thus are at the smaller end of the size range of historic Inuit sleds. The size suggests either that they represent special function sleds used in addition to larger sleds, or that larger sleds may have been a late historic development, perhaps influenced by contact. The fact that no sleds attributable to Paleoeskimo culture were recorded is consistent with the generally held belief that dogs and sleds were not an important part of Paleoeskimo transportation systems.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.729
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.286
Teacher spread0.274 · 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 designNot applicable
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
Published2014
Admission routes4
Has abstractyes

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