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Record W2935924344 · doi:10.15804/athena.2015.48.09

Germany’s Arctic Policy – Between Economy and Ecology

2015· article· en· W2935924344 on OpenAlexaff
Joanna Grzela

Bibliographic record

VenueAthenaeum Polskie Studia Politologiczne · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsNorthern College
Fundersnot available
KeywordsArcticEcologyThe arcticGeographyEconomicsEconomyPolitical scienceBiologyOceanographyGeology

Abstract

fetched live from OpenAlex

In the last years, as a result of climate changes, plenty of transformations have taken place in the High North. Consequently, ice cap of the Arctic is melting at a very fast pace, and that means significant rise of sea levels as well as decreasing animals’ habitats. On the other hand, disappearing Arctic ice is opening new areas of exploitation for humans. The Arctic might also soon become the world’s most important reservoir of clean water and food. The warming is leading to changes in ecosystems, arousing a number of enquiries about territorial division of the region, its preservation and utilisation. The changes taking place in the Arctic pose a challenge on many levels: economic, social, security, and environmental protection. First of all, economic (access to probably the biggest deposits of oil, gas and precious metals in the world) and ecological (environmental protection) interests are clashing there. The North Pole, although with varying intensity, is becoming present in foreign policies of many countries. On the Old Continent, it has been noticed by the whole European Union as well as particular countries. One of them is Germany. Germany is interested in the region from the economic and ecological perspective.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.061
GPT teacher head0.358
Teacher spread0.297 · 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 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

Citations2
Published2015
Admission routes1
Has abstractyes

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