Other futures for arctic economies? Searching for alternatives to resource extraction
Bibliographic record
Abstract
The debate on Arctic economies has been dominated by large-scale resource extraction and trans-Arctic shipping. By the mid-2010s, these notions are replaced by more modest outlook, as the pace of developments – largely due to low resource prices – is much slower than projected and various technical, economic and social constraints for extraction and shipping are better understood. However, Arctic regions continue to face major developmental, social and demographic challenges. In order to address pertaining problems, many regional policymakers and economic actors are increasingly turning to a broader range of economic activities, and searching for other pathways to economic security and growth.Information and communication technologies, circular economy transitions, bioeconomy, and utilizing Arctic natural conditions have become a part of the current discourse on Arctic development. This paper discusses chosen activities representative for these development ideas, including data centres, cold climate testing, high value agricultural production, bioenergy, smallscale local circular solutions and Arctic creative industries.
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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 | 0.000 |
| 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".