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Record W4392573465 · doi:10.36368/jns.v1i1-2.511

Wissenschaft und Abenteuer in der Arktis

2007· article· en· W4392573465 on OpenAlexaboutno aff
Cornelia Lüdecke

Bibliographic record

VenueJournal of Northern Studies · 2007
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsNorth Germanic languagesPhilosophyHistoryReligious studies

Abstract

fetched live from OpenAlex

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 Schröder-Stranz. Other expeditions gave rise to longrangeinvestigations 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 (1882–1883) 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 introductionof 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 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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.005
Scholarly communication0.0070.004
Open science0.0010.008
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0240.015

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 head0.074
GPT teacher head0.471
Teacher spread0.398 · 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.

Study designTheoretical or conceptual
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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