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Coastal environments around Thule settlements in Northeast Greenland

2010· article· en· W2059309376 on OpenAlexaboutno aff
Aart Kroon, Bjarne Holm Jakobsen, Jørn Bjarke Torp Pedersen

Bibliographic record

VenueGeografisk Tidsskrift-Danish Journal of Geography · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
FundersComisión de Investigaciones CientíficasNational Institute of Environmental ResearchAarhus Universitet
KeywordsHuman settlementCoastal erosionBeach morphodynamicsSubsistence agricultureGeographyPhysical geographyOceanographyArcticArchaeologyGeologyShoreGeomorphologySedimentAgricultureSediment transport

Abstract

fetched live from OpenAlex

Inuit have travelled to and settled in the coastal landscapes of Northeast<br/>Greenland for several longer periods during the latest ca. 4500<br/>years. Most recently the Thule culture Inuit lived in the region from<br/>around 1400 until 1850 AD. The access to partly and periodically<br/>ice covered near coastal waters has been crucial to the primarily<br/>marine based subsistence strategy of the Thule Inuit culture, and their<br/>settlements are therefore found immediately at the coast. Changing<br/>geological and geomorphologic settings strongly influence the<br/>coastal morphodynamics, and only specific locations offer stable<br/>and protected conditions needed for proper winter settlements. The<br/>comprehensive study of coastal environments and Thule culture<br/>winter settlements in the Young Sound region show an accumulation<br/>of winter settlements, nearly all located either in protected pocket<br/>beaches or on stable basalt capes. The Thule culture abandoned<br/>Northeast Greenland about 1850 AD, and apart from settlements<br/>on basalt capes, most of the winter settlement sites in pocket beach<br/>areas have been affected by erosion of local character and in some<br/>cases also affected by increasing wave erosion during recent periods<br/>of less ice in near coastal waters.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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.

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

Citations12
Published2010
Admission routes1
Has abstractyes

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