The Russian Arctic by 2050: Developing Integrated Scenarios
Bibliographic record
Abstract
Scenarios of future development pathways in the Arctic created by groups of experts and stakeholders are an effective way to identify and illustrate possible alternatives and options for this region based on anticipated environmental and socioeconomic changes. Although scenarios that assess development trajectories for the Arctic are becoming increasingly popular, there is a relative lack of regional perspective in foresight exercises devoted to the Russian Arctic. This article presents and discusses development scenarios for the Russian Arctic until 2050 that were built by a diverse group of academics, local officials, Indigenous leaders, and business representatives at a scenario workshop in Naryan-Mar, Russia. The scenarios focus on Russia’s Arctic zone and incorporate future visioning of economic development, international cooperation with the West and China, shipping, human and social capital, and Indigenous peoples’ livelihoods in the context of climate change. We apply a novel circular-axial technique to synthesize and combine the 12 initially created thematic scenarios into four final cross-cutting integrated scenarios that describe alternative futures for the Russian Arctic by 2050: Harmonious Arctic, Self-Reliant Arctic, Resource-Dependent Arctic, and Forgotten Arctic.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| 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".