How much would reduced emigration mitigate ageing in Norway?
Bibliographic record
Abstract
Population ageing is a topic of great concern in many countries. To counteract the negative effects of ageing, increased fertility or immigration are often proposed as demographic remedies. Changed emigration is, however, rarely mentioned. We explore whether reduced emigration could mitigate ageing in a country like Norway. Using cohort-component methods, we create hypothetical future demographic scenarios with lower emigration rates, and we present (prospective) old-age dependency ratios, population growth and shares of immigrants. We also estimate howmuch fertility and immigrationwould have to change to yield the same effects. In different scenarios, emigration is reduced for the total population and for subgroups, while also taking into account that reduced emigration of natives will entail reduced return migration. Our results show that even a dramatic 50% decrease in annual emigration would mitigate ageing only slightly, by lowering the old-age dependency ratio in 2060 from 0.54 to 0.52. This corresponds to the anti-ageing effect of 15% higher fertility, or one-quarter extra child per woman.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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".