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Record W4407780338 · doi:10.1215/00141801-11463305

Calling Moose: A Mid-Nineteenth-Century Example of Northern Tutchone Scapulimancy from Fort Selkirk, Yukon

2025· article· en· W4407780338 on OpenAlexaffabout
Victoria Elena Castillo

Bibliographic record

VenueEthnohistory · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsYukon University
Fundersnot available
KeywordsArchaeologyGeographyHistory

Abstract

fetched live from OpenAlex

Abstract Fort Selkirk, Yukon, was a site of contact between Northern Tutchone people and Hudson’s Bay Company fur traders in the mid-nineteenth century. During archaeological excavations in 2006, this article’s author recovered a unique moose (Alces alces) scapula, which provides evidence of early contact period Northern Tutchone hunting techniques and scapulimancy. A zoomorphic etching on the surface of the scapula depicts a large male ungulate, probably a moose, along with an arrow in flight by its head. To understand the context and significance of this artifact, the author interviewed Selkirk First Nation (Northern Tutchone) Elder Mr. Roger Alfred. He focused his responses on the scapula’s construction, its use, and the etching’s significance. By using a holistic approach that combines ethnohistorical information, and an oral ethnoarchaeology interview, this article offers insight into the cultural practices that Indigenous hunters use to call and locate moose in the North American subarctic. The Fort Selkirk scapula is a unique tangible example.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.255
Teacher spread0.239 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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