Bibliographic record
Abstract
Global climate change in the Arctic has been unfolding more rapidly than in other parts of the world, and its impacts affect vulnerable northern ecosystems, health and well-being of the Northerners, economic sectors and infrastructure in the polar regions of the eight Arctic states. Consequences of climate change for human society are analysed in synergy with ongoing transformations in social, economic and institutional systems in the Arctic region. Their cumulative effect exposes a variety of challenges for sustainable development of the northern communities, regions and countries; it reveals a number of uncertainties in the future pathways within the transformative context, as well as a combination of risks and opportunities for societies; it requires human responses and adaptations to consequences of the Arctic change. Adaptation to climate change in combination with greenhouse gases emission reduction turns into an important component of climate policies and measures of the Arctic states. This article presents innovative results of analysis of the major trends and features in formation of adaptive governance in the Arctic. It emerges to be based on a polycentric design, and particularly, on coordination of response actions at various levels, on interactions and networks of a variety of the Arctic stakeholders, on taking into account local environmental and socio-economic contexts, on combination of multidisciplinary approaches and packaging of governance mechanisms and instruments. The study analyses the major developments and innovations in adaptation approaches, policies, and practices of the Arctic regions in N. America (Canada) and Europe (Norway). Its foci is on assessment of priorities, strategies and planning, institutions, economic instruments, climate services, application of structural measures for disaster risk reduction. It explores possibilities of regional exchange of best practices in the Arctic, and core barriers for success in implementation of adaptation policy options. The role of the Paris agreement in formation and structuring of adaptation policies and measure of the northern regions of the Arctic states is analysed.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".