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Record W2039737260 · doi:10.1017/s0032247402002875

The Greenland Norse: bones, graves, computers, and DNA

2004· article· en· W2039737260 on OpenAlexaboutno aff
Niels Lynnerup, Søren Nørby

Bibliographic record

VenuePolar Record · 2004
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSubsistence agricultureGeographyPopulationHuman settlementArchaeologyAncient DNADomesticationEcologyHistoryEthnologyDemographyBiologyAgriculture

Abstract

fetched live from OpenAlex

The remains of the Greenland Norse provide unique biological anthropological material for the investigation of human and environmental interaction. As a population, they were generally secluded from most of the contemporary European medieval society, and land suitable for their way of life was limited in Greenland. The archaeological and historical record is excellent, clearly establishing the 500-year period of colonisation. In other words, the Greenland Norse represent a relatively isolated population, constrained in both space and time. Living in an environment with very little buffering capacity, ecological changes immediately had repercussions. Ten years of research have shown a direct climatic impact on the humans as well as changing subsistence patterns. It seems that the Norse in Greenland responded to these changes, although inside ‘cultural’ limits. Demographic modelling indicates that emigration may have accounted for the final abandonment of the settlements. A changing ecology thus seems to have pushed the Greenland Norse out of Greenland, because their sedentary way of life, relying on animal husbandry, and probably with a strong cultural sense of identity focused on farmsteads and domestication, became unsustainable. A further step will be clarifying the genetic history of the Norse as well as of the Thule Culture Inuit. These analyses have commenced by examining mtDNA variation and Y-chromosomal diversity among present-day Greenlandic Inuit, and preliminary results appear to provide some information as to the fate of the Norse people.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.004
Scholarly communication0.0020.003
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.002

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 head0.025
GPT teacher head0.323
Teacher spread0.297 · 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

Citations9
Published2004
Admission routes1
Has abstractyes

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