The rapidly changing Arctic and its societal implications
Bibliographic record
Abstract
Abstract The Arctic is undergoing rapid climate change and is projected to experience the most warming this century of any world region. We review the societal aspects of these current and projected changes. Indigenous knowledge and local knowledge holders living in communities across the Arctic have detected unprecedented increases in temperature, altered precipitation regimes, and changing weather patterns, documenting impacts on terrestrial and marine environments. These local observations situate climate change as one of multiple interacting stressors. Arctic societies have exhibited resilience to climate change, but vulnerabilities are emerging at the nexus of changing environmental conditions and socioeconomic pressures. Infrastructure is highly susceptible to permafrost thaw, coastal erosion, and sea level rise, compounded by the age of infrastructure, maintenance challenges, and cost of adapting. Livelihoods and cultural activities linked to subsistence harvesting have been affected by changes to wildlife, with coping mechanisms undermined by long‐term processes of land dispossession and landscape fragmentation. Reduced sea ice coverage and changing ice dynamics are creating opportunities for enhanced shipping, oil and gas production, and deep‐water fisheries. Legal, infrastructural, economic, and climatic challenges are expected to constrain such developments, with concerns over the distribution of potential benefits. Adaptation is already taking place in some sectors and regions, with efforts directly targeting climate impacts and also addressing underlying determinants of vulnerability. Barriers and limits to adapting are evident. Research that develops projections of future climate impacts is advancing, but studies examining the implications of such changes for communities or economies remain in their infancy. This article is categorized under: Trans‐Disciplinary Perspectives > Regional Reviews
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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 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".