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Record W2762789955

"Deutschlands Einzige Kolonie ist das Meer!" Die Deutsche Hochseefischerei und die Fischereikonflikte des 20. Jahrhunderts

2004· article· de· W2762789955 on OpenAlexaboutno aff
Ingo Heidbrink

Bibliographic record

Venuenot available
Typearticle
Languagede
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

In the 20th century, the seas off Iceland, Greenland and Newfoundland were the main areas of the German deep-sea fishing fleet for many decades. The fishers and fishing vessels were often only a few nautical miles away from the coasts of the North Atlantic Islands, which was increasingly a source of conflict. On the one hand, the good catches in the North Atlantic created the economic boom of the fishing towns on the German coast. On the other hand, the islands separated from their former European colonial motherland and developed their own interest - not only political but also economic On the sovereignty over the resource fish. The principle of "freedom of the seas" had reached its limits, and fishing conflicts between the European nations and the shores of the fishing areas arose. In the 1970s, they culminated in the so-called "Cod-war" with Iceland. The present study analyzes the German role in these conflicts for the first time on a scientific basis and shows the consequences of the conflicts for the German coastal regions. At the same time, she explained that the drastic reduction of the German deep-sea fishing fleet had not been an unpredictable development since the 1980s, but that its rapid growth almost a century earlier was based exclusively on the colonial status of the shore areas. [From www.dsm.museum]

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.007

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 head0.053
GPT teacher head0.321
Teacher spread0.268 · 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 designNot applicable
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

Citations4
Published2004
Admission routes1
Has abstractyes

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Same topicEuropean history and politicsFrench-language works237,207