Exploring the Future Population and Educational Dynamics in the Arctic: 2015 to 2050
Bibliographic record
Abstract
The Arctic is a geographical space surrounding the North Pole. It encompasses dozens of sub-national entities north of eight Arctic countries: Russia, Canada, Denmark, the United States, Iceland, Norway, Sweden, and Finland. It is 20 million square kilometers land coverage settled with only 10 million people (2015). In the desire to learn more about the Arctic overall profile in population change, we aimed at producing cross-regional dataset covering all parts of the Arctic, and using it as a baseline for the cohort- component population projection. In this way, we model the future changes in the age, sex, and educational structure of sub-national populations, the latter reflecting the regional human capital. The projections are based on three alternative scenarios, taking into account regional characteristics (“Medium development”, “Arctic Boost”, and “Arctic Dip”). The results might be informative for those interested in the future dynamics of the Arctic population from 2015 forward to 2050.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".