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Record W2023828703 · doi:10.2307/25470439

Opportunistic Whale Hunting on the Southern Northwest Coast: Ancient DNA, Artifact, and Ethnographic Evidence

2007· article· en· W2023828703 on OpenAlexaffabout
Robert J. Losey, Dongya Yang

Bibliographic record

VenueAmerican Antiquity · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsSimon Fraser UniversityUniversity of Alberta
Fundersnot available
KeywordsWhaleGeographyHumpback whalePeninsulaFisheryArchaeologyWhalingCetaceaArtifact (error)Biology

Abstract

fetched live from OpenAlex

Two modes of whale use have been documented on the Northwest Coast of North America, namely systematic whale hunting and whale scavenging. Ethnographically, systematic hunting was practiced only by Native groups of southwestern Vancouver Island and the northern Olympic Peninsula of Washington State. This hunting was undertaken with technology specifically designed for the task. Other groups on the Northwest Coast reportedly did not hunt whales but did utilize beached animals. Here we present archaeological evidence of whaling from the northern Oregon coast site of Par-Tee in the form of a bone point lodged in a whale phalange. This hunting likely occurred 1,300 to 1,600 years ago. Ancient DNA extracted from the phalange proves it to be a humpback whale (Megaptera novaeangliae). DNA recovered from the bone point indicates that it is made from elk (Cervus elaphus) bone, and the point's DNA sequence is identical to that from unmodified elk bone from Par-Tee, suggesting the whale was locally hunted. We present ethnohistoric data from the southern Northwest Coast describing opportunistic whale hunting with a variety of technologies. We argue that many groups along the west coast of North America likely occasionally hunted whales in the past and that this hunting occurred using nonspecialized technologies.

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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.047
GPT teacher head0.280
Teacher spread0.233 · 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

Citations42
Published2007
Admission routes2
Has abstractyes

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