Bibliographic record
Abstract
Modern climate changes caused by the processes of global warming are clearly reflected in the geopolitical interests of various states of the world in relation to the Arctic region. Accordingly, the relevance of the study of this issue is caused by the formation in the last decade of a number of opportunities that may be open to a state that will establish its influence in the Arctic. This is due to a combination of economic and political advantages expressed in the extraordinary amount of resources that characterize this region, the development of rational sea routes, the satisfaction of commercial goals and even the protection of the sovereignty of coastal countries. Thus, the purpose of the work was to define the Arctic as a political arena, in particular, to reveal the interests and plans of various countries regarding its territory and resources. For this, the research used the method of analysis and synthesis, comparison, deduction, generalization, as well as historical. As a result, it was established that active climatic changes in the world cause the formation and development of new economic opportunities in the Arctic. Accordingly, the role of this region was determined for such countries as Canada, Russia, United States of America, Norway, Denmark, Iceland, Sweden and Finland. It was possible to establish that their interests are to a greater extent caused by the desire to control the operation of the Northern Sea Route. In addition, the work described the advantages of the Arctic region, which describe the priority of establishing control over this territory by the relevant state. In particular, it is beneficial for the development of economic activity, the protection of the territories of coastal countries, it is characterized by a significant number of deposits of natural resources and other minerals, as well as wide transit opportunities. Thus, it was proved that it is appropriate to consider the Arctic as a socio-cultural, ethnic, socio-economic, geopolitical space around the North Pole, the resources of which provoke world states to compete with each other. The practical value of the work is revealed in the possibility of using its results for further scientific research, as well as educational material for those studying the Arctic and its role in international relations.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".