Sustainable Development In The Arctic: Vision For Multilevel Governance
Bibliographic record
Abstract
IMEMO took part in the 2018 North Pacific Arctic Conference “Arctic 2030 and Beyond – Pathways for the Future” organized by the East-West Center, USA and the Korean Maritime Institute (KMI) and held in Honolulu 15-17 August 2018. The core goal of the international meeting was to discuss the dynamics, new trends and future framework for socio-economic and sustainable development of the Arctic and the North-Pacific under the global transformations and multiple Arctic Change. The vision for exploring the prospects and opportunities for international cooperation between the countries of the region, including the role of non-Arctic states was discussed. The Russian experts contributed with papers and presentations on national policies and strategies, prospects on energy developments, new challenges for services-infrastructure and transportation in the Arctic, and the specific context of its sustainability priorities. The dialogue between the stakeholders from Russia, Canada, USA, Japan, Korea and China on avenues for international cooperation including the prospects of the international CAO fisheries agreement, the Yamal-LNG project and transportatation along the Northern Sea Route was underway. The monograph based on results of presentation and conference discussion would be published in 2019.
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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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".