MétaCan
Menu
Back to cohort
Record W2624871652 · doi:10.5604/23008741.1152561

Arctic – the new “Great Game” or peaceful cooperation

2014· article· en· W2624871652 on OpenAlexaboutno aff
Risto Gabrielson, Zdzisław Śliwa

Bibliographic record

VenueSecurity and Defence Quarterly · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArcticThe arcticGeographyPolitical scienceWork (physics)International tradeEconomyOceanographyEconomicsEngineeringGeology

Abstract

fetched live from OpenAlex

The Arctic area with its harsh climate and austere icecap has not raised any great international passions in the past. However, enduring global warming has opened new views on exploitation of that area. If the climate gets steadily warmer in the future, it could mean the opening of the Northwest Passage for ship routes. On the other hand, it is estimated that the region has got remarkable gas reserves, which could amount to as much as 30 % of the world’s undiscovered reserves, as well as oil, which encompasses some 13 % of world’s undiscovered stocks. As for now, any serious international conflicts in this area are not likely, even though there are real expectations and claims imposed by several nations. The current peaceful cooperation is supported by feasible treaties that are already in place. Until lately, the work of the Arctic Council has not raised any great international attentiveness, but the expected development in the area has activated stronger interest from many countries, and not only those from the Arctic region. There are several regional disputes among the five states, USA, Canada, Russia, Norway and Denmark about the Arctic Ocean. As expert opinion still differs quite significantly about the resources available in the Arctic region and about the feasibility of the Northwest and Northeast routes, it is hard to say if there are any practical economic gains to be achieved. Although cooperation between the nations has been peaceful, the military presence in the area is increasing. Moreover, it remains to be seen how the recent Ukrainian crisis will affect the development in the area.

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)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0090.014
Scholarly communication0.0170.016
Open science0.0020.010
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0150.005

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 head0.017
GPT teacher head0.290
Teacher spread0.274 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueSecurity and Defence QuarterlySame topicArctic and Russian Policy StudiesFrench-language works237,207