Resolving the ‘Highland Problem’: The Highlands and Islands of Scotland and the European Union
Bibliographic record
Abstract
Popular perception has historically constructed the Highlands and Islands of Scotland to be economically and socially backwards in comparison with the rest of the United Kingdom. As evoked in the phrase the ‘Highland Problem’, the area has been considered by outsiders to be beyond help and destined to remain in a state of underdevelopment and chronic depopulation. Despite the history of economic intervention in the area from the late 18th century onwards from private and government initiatives intended to alleviate poverty and bring wealth to the area, it was not until the 1980s with the implementation of sustained and tailored structural assistance from the European Union that emigration slowed and the population of the Highlands and Islands began to grow significantly. This economic success has largely been the result of not only a significant injection of capital but also the willingness of the EU to use local knowledge and collaborate with local agencies. This remarkable development, which is far from over, is being directly threatened by the Brexit phenomenon.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.014 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".