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Record W296135711 · doi:10.36368/jns.v1i1-2.511

Wissenschaft und Abenteuer in der Arktis : Beispiele deutscher Polarexpeditionen

2007· article· de· W296135711 on OpenAlexaboutno aff
Cornelia Lüdecke

Bibliographic record

VenueDiVA at Umeå University (Umeå University) · 2007
Typearticle
Languagede
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryArtPolitical science

Abstract

fetched live from OpenAlex

From its beginning in 1868 German polar expeditions were focused on scientific exploration. History shows that around 1910 only well prepared and equipped expeditions were successful and could gain valuable experiences. The training expedition of the Bavarian officer Wilhelm Filchner who subsequently led the German Antarctic Expedition (1911–1912) was one of these. This is contrasted by the preliminary expedition to Nordaustlandet (Svalbard) of the west Prussian officer Herbert Schroder-Stranz. Other expeditions gave rise to longrange investigations like the permanently occupied German Geophysical Observatory on Svalbard (1911–1914) established for the investigation of the upper air by aerological measurements to prepare a future exploration of the Arctic by airships. There was a long tradition for German scientific expeditions to Greenland, which is represented for instance by Alfred Wegener‘s meteorological programme to investigate the glacial anticyclone. The year 1930 was a fateful year for German polar research, when he died on the ice-cap and geologist Hans Kurt Erich Krueger vanished in the north Canadian archipelago. Both men represented science as well as adventure. International projects initiated or organised from the German side were always successful. Georg von Neumayer, director of the German Navy Observatory (Deutsche Seewarte), played an important role in organising the 1st International Polar Year (1882–883) after the untimely death of Karl Weyprecht. Only extensive research without recognition of national borders would provide new scientific knowledge in meteorology and earth magnetics for weather forecast and shipping. After World War I economical ideas concerning the introduction of trans-arctic air traffic lead to the foundation of the International Society for the Exploration of the Arctic Regions by Means of Aircraft (Aeroarctic). In the meteorological planning of the first expedition with the airship LZ 127 “Graf Zeppelin” to the Russian Arctic, the results of the German Geophysical Observatory in Svalbard were used. This paper discusses the connections between science and adventure established through the German expeditions.

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)0.001
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.007

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 head0.213
Teacher spread0.204 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2007
Admission routes1
Has abstractyes

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