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Record W2112900065 · doi:10.14430/arctic254

Jørgen Meldgaard (1927–2007)

2009· article· en· W2112900065 on OpenAlexvenueno aff
Martin Appelt, Bjarne Grønnow, Hans Christian Gulløv

Bibliographic record

VenueARCTIC · 2009
Typearticle
Languageen
FieldChemistry
TopicHistory and advancements in chemistry
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

When Jørgen Meldgaard passed away on 9 March 2007, an era in Danish Arctic research ended.Ten years earlier he had retired from his position at the National Museum of Denmark after almost 40 years as a curator and half a century in the service of Eskimology.As the last person in a unique line of Danish Arctic scholars, Meldgaard succeeded through his work in continuing a research tradition that includes Therkel Mathiassen (1892-1967), Kaj Birket-Smith (1893-1977), Erik Holtved (1899-1981), Helge Larsen (1905-84), and Eigil Knuth (1903-96).Their pioneering work in Arctic cultural history and Eskimo archaeology was carried out for the National Museum of Denmark.Jørgen was born on 7 March 1927 in Skive, a town in Jutland, but he grew up on the island of Funen.Like Hans Christian Andersen, who also came from Funen, Jørgen led a life that resembled a fairy tale.In 1945 he came fresh from high school to Copenhagen to study prehistoric archaeology and was soon introduced to the multifarious activities of the Department of Ethnography.After five years of German occupation, the museum was at last able to resume its research in the Arctic.Eigil Knuth had conceived the plans for the Danish Peary Land Expedition, and the first team traveled north in 1947.Knuth was looking for employees for the following summer's archaeological investigations, and many years later Jørgen told us what happened: "As a young archaeology student, I was sitting in the reading room one day with some fellow students, when P.V. Glob, who was then the curator, came rushing in, shouting "Who wants to go to Greenland?Raise your hand!"And I was the first to raise my hand.I literally jumped on board the old ship Godthåb, which for four weeks thumped across the Atlantic with sails and steam through storms, and struggled through the ice.I ended up in the northernmost part of Northeast Greenland-and was deeply fascinated.After this first expedition I was stuck with Arctic archaeology" (Damsgård, 1997:10).Together with Hans-Georg Bandi, he spent the summer in the northeast where they emphasized the cultural ties between the north of Greenland and the Dorset and Thule cultures in the Smith Sound region and Arctic Canada.During his studies in prehistoric archaeology, Jørgen had the opportunity to participate in the National Museum's expedition to the Norse settlements in southwestern Greenland in 1949.This expedition revealed another topic of research to this young student, one which would later turn into a major interest.But Helge Larsen had noticed Jørgen's skills and invited him to join a 1950 expedition to Alaska as his assistant.The excavations of the Trail Creek caves were to be completed that summer, and the Ipiutak culture men's house at Deering was also excavated.At the museum, Jørgen was given the task of describing a donation of 182 stone objects from the village of Saqqaq in Disko Bay, and he concluded that the material represented a Pre-Thule Palaeo-Eskimo culture that was closely

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0430.017

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 head0.012
GPT teacher head0.252
Teacher spread0.240 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations1
Published2009
Admission routes1
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