The durability of European Regional Development Fund partnership and governance structures: a case study of the Scottish Highlands and Islands
Bibliographic record
Abstract
This paper explores the ways in which European Union Regional Policy, particularly the European Regional Development Fund (ERDF), operates in a multi-level governance framework in which stakeholders at sub-national, national and European levels work together in partnership to deliver the European funding. Focusing upon the case of the Highlands and Islands region of Scotland, the paper analyses the ways in which partnership and governance structures have evolved over successive ERDF programming periods between 2000–2006 and 2007–2013. In particular, the paper illustrates the ways in which the Highlands and Islands’ ERDF governance structures were built upon a ‘broad’ and ‘deep’ level of partnership amongst key stakeholders, especially in the 2000–2006 programme. For various reasons, including a significant reduction in its ERDF funding allocation, the level of partnership working was streamlined during the 2007–2013 programme. Importantly, however, the durability of the governance structures has been maintained.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".