Bibliographic record
Abstract
The aim and scope of this paper is to isolate the effects of population ageing in the context of potential Scottish independence. A dynamic multiregional Overlapping Generations Computable General Equilibrium (OLG-CGE) model is used to evaluate the two scenarios. The status quo scenario assumes that Scotland stays part of the UK and all government expenditures associated with its ageing population are funded on a UK-wide basis. In the independence scenario, Scotland and the rest of the UK pay for the growing demands of their ageing populations independently. The comparison suggests that Scotland is worse off in the case of independence. The effective labour income tax rate in the independence scenario has to increase further compared with the status quo scenario. The additional increase reaches its maximum in 2035 at 1.4 percentage points. The additional rise in the tax rate is non-negligible, but is much smaller than the population ageing effect (status quo scenario) which generates an increase of about 8.5 percentage points by 2060. The difference for government finances between the status quo and independence scenarios is thus relatively small.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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; both teacher heads agree on what is shown here.
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".