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Record W4389742428 · doi:10.13177/irpa.a.2023.19.2.3

Wicked Problem of Regional Development Policy in Iceland

2023· article· en· W4389742428 on OpenAlexaff
Anna Guðrún Edvardsdóttir, Rannveig Ólafsdóttir, Allison Williams

Bibliographic record

VenueIcelandic Review of Politics & Administration · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsMcMaster University
FundersEuropean Commission
KeywordsProsperitySustainable developmentSustainabilityPoliticsLivelihoodIncentiveRegionalism (politics)GlobalizationPolitical scienceEconomic growthGeographyEconomicsDemocracy

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.191

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.294
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2023
Admission routes1
Has abstractyes

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