THE MILITARY ESCALATION BY THE ARCTIC FIVE MEMBERS IN THE ARCTIC OVER THE PERIOD OF 2007 - 2019
Bibliographic record
Abstract
The Arctic recently has shifted into one of the most appealing topic to be debated in terms of International Politics. The Arctic Five, membered by the United States, Denmark, Canada, Norway, and Russia are undergoing military escalation in the Arctic. Some precedings reports have linked the correlation between the military escalation with the dispute of territorial claims and the abundant of natural resources lying under the bottom of the Arctic Ocean. Perceiving that early conclusion given to this case, writer is being skeptical. The main object of this research is to discover the driven factors causing the military escalation in the Arctic. Throughout the research, writer analyses the case using the defensive realism theory with qualitative method and descriptive research by using literature review. At the end of the research, result is pointing out that the territorial dispute and natural resource are not the main driving factors causing the military escalation. The military escalation is not being used to threat other countries and it is only part of the capabilities fulfillment which has to be done by every country to attain the maximum security and survive within the anarchical international system.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".