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Record W2107317398 · doi:10.1080/00438243.2015.1025912

Was it for walrus? Viking Age settlement and medieval walrus ivory trade in Iceland and Greenland

2015· article· en· W2107317398 on OpenAlexafffund
Karin Margarita Frei, Ashley N. Coutu, Konrad Śmiarowski, Ramona Harrison, Christian Koch Madsen, Jette Arneborg, Robert Frei, Garðar Guðmundsson, Søren Michael Sindbæk, James Woollett, Steven Hartman, Megan Hicks, Thomas H. McGovern

Bibliographic record

VenueWorld Archaeology · 2015
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversité Laval
FundersSocial Sciences and Humanities Research Council of CanadaArts and Humanities Research CouncilNational Science FoundationDanmarks Frie ForskningsfondForsknings- og InnovationsstyrelsenWenner-Gren FoundationLeverhulme TrustDanish Agency for Science and Higher EducationAmerican-Scandinavian FoundationHáskóli ÍslandsIcelandic Centre for ResearchAarhus UniversitetNational Geographic Society
KeywordsViking AgeArchaeologyGeographyBaySettlement (finance)Stone AgeFishery

Abstract

fetched live from OpenAlex

Walrus-tusk ivory and walrus-hide rope were highly desired goods in Viking Age north-west Europe. New finds of walrus bone and ivory in early Viking Age contexts in Iceland are concentrated in the south-west, and suggest extensive exploitation of nearby walrus for meat, hide and ivory during the first century of settlement. In Greenland, archaeofauna suggest a very different specialized long-distance hunting of the much larger walrus populations in the Disko Bay area that brought mainly ivory to the settlement areas and eventually to European markets. New lead isotopic analysis of archaeological walrus ivory and bone from Greenland and Iceland offers a tool for identifying possible source regions of walrus ivory during the early Middle Ages. This opens possibilities for assessing the development and relative importance of hunting grounds from the point of view of exported products.

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)0.000
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 score0.125
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.076
GPT teacher head0.381
Teacher spread0.305 · 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

Citations141
Published2015
Admission routes2
Has abstractyes

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