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Record W2018051889 · doi:10.1002/gea.20351

Norse–Inuit interaction and landscape change in southern Greenland? A geochronological, Pedological, and Palynological investigation

2011· article· en· W2018051889 on OpenAlexaboutno aff
Kirsty A. Golding, Ian A. Simpson, J. Edward Schofield, Kevin J. Edwards

Bibliographic record

VenueGeoarchaeology · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsPalynologyRadiocarbon datingArchaeologyGeographyHuman settlementPeriod (music)Physical geographyGeologyPollenEcology

Abstract

fetched live from OpenAlex

Abstract Ruins representing both medieval Norse and Inuit (Thule culture) settlements can be found together on the coast at Sandhavn (59°59′ N, 44°46′ W), Greenland. The site presents a rare opportunity to investigate the character of past contact and interaction between these two peoples. Soils‐based, radiocarbon, and palynological analyses demonstrate the creation of hortic anthrosols within Norse home‐fields used between the mid‐11th and late 14th centuries A.D. Irrigation channels have been identified within the home‐fields, while rising grass pollen influx reveals intensification in hay production over the period ca. A.D. 1260–1350 despite climatic deterioration setting in around this time. Floor deposits and wall packing from an Inuit winter house returned dates of cal. A.D. 1220–1290 (2σ), yet no direct landscape‐based evidence for Inuit activity could be determined. Although the exact nature of the relationship between Norse and Thule at Sandhavn remains unclear, the role of this site as a harbor and possible trading area may have attracted Inuit settlers keen to participate in European trade networks. © 2011 Wiley Periodicals, Inc.

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 score0.267
Threshold uncertainty score0.532

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 communication0.0010.000
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 head0.088
GPT teacher head0.262
Teacher spread0.174 · 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

Citations37
Published2011
Admission routes1
Has abstractyes

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