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Record W2102209375 · doi:10.3721/037.004.s307

Isotopic Analyses of The Domestic Animals of Norse Greenland

2012· article· en· W2102209375 on OpenAlexaff
D.E. Nelson, Jan Heinemeier, Jeppe Møhl, Jette Arneborg

Bibliographic record

VenueJournal of the North Atlantic · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHuman settlementArchaeologyδ13CStable isotope ratioIsotopes of carbonGeographyIsotope analysisHerbivoreEcologyBiologyTotal organic carbon

Abstract

fetched live from OpenAlex

To provide a basis for the isotopic dietary study of the Greenland Norse, and as an interesting study in itself, measures of the stable carbon (δ13C) and nitrogen (δ15N) isotope ratios were obtained for 118 samples of archaeological bone from 6 species of the Norse domestic animals. These samples were obtained from museum faunal collections representing archaeological excavations of 10 Norse sites, five in each of the two Norse settlements in Greenland. In general, the carbon isotope values for the herbivores of dietary importance (cattle, sheep, and goats) were as expected for animals living in a C3 environment. The nitrogen isotope data hint at differing field management practices between the two settlements. There is no isotopic evidence for any unusual pastoral adaptation to conditions in Greenland, or for any change in animal management over the lifetime of the settlements. A few pigs form an exception to this statement, but they are peripheral to the Norse dietary economy. These data provide a solid first data set on which to base isotopic dietary analyses of the Norse settlers themselves.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.189

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.259
Teacher spread0.232 · 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.

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

Citations19
Published2012
Admission routes1
Has abstractyes

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