Global Challenges in the Arctic Region: Sovereignty, environment and geopolitical balance. By Elena Conde & Sara Iglesias (eds.) (London and New York, Routledge, 2017)
Bibliographic record
Abstract
Some years ago, I devoured Fergus Fleming's Ninety Degrees North: The Quest for the North Pole, published in 2001 and translated into Spanish in 2007 by Jordi Beltrán Ferrer as La conquista del Polo Norte.Obviously, the work reviewed here has nothing to do with that story.I mention it only to underscore the fascinating history of a challenging space for humans, replete with expeditions, failure, disappearances, mutiny, improbable events, deceit, heroics, and even the occasional episode of anthropophagy.Over time, the explorers naturally gave way to scientists from a variety of disciplines, natural and social.Today, the Arctic region is well known, and both technological developments and natural phenomena caused by humans, especially climate change, have aroused sovereign ambitions with the ensuing problems.These problems range from the delimitation of spaces between countries with Arctic coasts to the opening of new navigation routes through the Northwest and Northeast Passages amidst Canadian and Russian claims of sovereignty.They include projects to exploit natural resources at sea and on the continental shelf, even beyond the 200 nautical miles from any coast and at the expense of a seabed defined as the common heritage of mankind.Indeed, they encompass threats to the natural environment so far-reaching that, from a human perspective, the growing need to resettle the Inuit or Eskimos in areas less threatened by the melting ice is echoed thousands of kilometres away where, due to the rising sea levels, the people of Vanuatu, in the Pacific, or the Maldives, in the Indian Ocean, are being forced to abandon islands as poor as they are paradisiacal simply to survive.The complex problems of the Arctic region have become a sort of "trending topic" of our days.The book reviewed here takes a multidisciplinary, if fundamentally legal and political, approach to some of them.Consisting of 22 chapters, it begins with two introductory contributions.The remainder are organised into five parts devoted to: issues of sovereignty (Part I); Arctic governance, with special emphasis on the Arctic Council and the progressive involvement of civil society (Part II); the dilemma of the displacement of the Inuit, their rights, the protection of Arctic species and the regulation of the trade in wildlife (Part III); the environment and the exploitation of fisheries and mineral resources, renewable energies, and emissions reduction (Part IV); and geopolitical and security challenges (Part V).The chapters follow an open structure that, according to the editors, reflects the "centre of gravity" of each contribution.The challenges of climate change, the conservation and protection of the environment, sustainable development, cooperation amongst Arctic States and between them and non-Arctic States, and the role to be played by the European Union lie at the core of the book and permeate its pages.However, in yet another smart decision by the editors, the last two chapters merit special attention.They are devoted to China and its aspirations -today achievable and, indeed, already partly achieved-of becoming a great power.Perhaps that is why it has already learnt to act with a certain disregard for international standards.But that is in the South China Sea, not the Arctic, where it is trying to carve out a niche for itself, as a global player, using scientific cooperation as a peaceful diplomatic weapon to penetrate and entrench its interests.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".