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Record W2114659552 · doi:10.1353/arc.2011.0084

Inukshuk: Caribou Drive Lanes on Southern Victoria Island, Nunavut, Canada

2005· article· en· W2114659552 on OpenAlexaboutno aff
Jack W. Brink

Bibliographic record

VenueArctic Anthropology · 2005
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyArchaeologyArcticTerrainThe arcticFunnelEcologyGeologyCartographyOceanographyEngineeringBiology

Abstract

fetched live from OpenAlex

Abstract Caribou drive systems made of stone lines and cairns [inuksuit] are a common feature of the far north but have been little studied by archaeologists. Two communal caribou kill sites from southern Victoria Island, Nunavut, Canada are discussed and illustrated. The Eggington site is a single-line drive where herds of caribou were directed through a saddle between two hills and killed from shooting pits. The POD site is a V-shaped funnel with two prominent lines of cairns and stone walls ending with opposing shooting pits. The sites, of uncertain age, are similar to those described by Jenness for the historic Caribou Inuit. Critical aspects of landscape and caribou behavior/biology that were manipulated to achieve the kills include the nature of the terrain, sense of smell and eyesight, wind, and the reaction of caribou to motion. Caribou drives, though often devoid of artifacts, have the power to reveal the sophisticated systems of knowledge that enabled successful communal kills.

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)0.001
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 score0.012
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.332
Teacher spread0.315 · 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

Citations40
Published2005
Admission routes1
Has abstractyes

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