Wicked Problem of Regional Development Policy in Iceland
Bibliographic record
Abstract
With increasing globalization, the influence of global drivers on local livelihood and prosperity is becoming more apparent at the local level. Global drivers are for the most part driven by economic incentives and often disregard sustainable rural development. This paper uses a political economy perspective to investigate how global impacts are affecting regional development policy. This is accomplished via content analysis and literary study of regional development policy documents post-2000 in Iceland, recognized as a predominately rural island nation. Contributing to the literature on public administration and policy in Iceland and elsewhere, the paper argues that regional development and sustainability in rural regions is a wicked problem and emphasises the importance of a holistic perspective in sustainable regional and rural development. Conclusions suggest that place-specific, nuanced approach needs to be taken to meet the demands of sustainable development. As influenced by the new regionalism, places, and the communities within them, differ in environmental, economic, social, and cultural ways. The uniqueness of places underpins the vital importance of inhabitants´ participation in decision making. Moreover, addressing wicked problems at the community level is an easier and a more transparent way to diagnose and manage issues of concern.
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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 | 0.011 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".