Strategic Spatial Planning and Regional Governance in Europe
Bibliographic record
Abstract
Barrie Maguire's image of a woman stitching together the Irish landscape reflects the central question behind this Longer View: What will recent strategic spatial planning efforts in Europe give us? In the case of Northern Ireland, the quilt sewn from separate pieces of the landscape might represent that state's desire to establish cohesion while respecting diversity. Albrechts, Healy, and Kunzmann show that there and elsewhere, spatial planning efforts are stitching together new regional patterns for many parts of Europe. Maguire is a graduate of Notre Dame University and comes from a family of artists. He has worked as a creative director at Hallmark Cards, a book designer and illustrator, and a newspaper editorial illustrator. Since visiting Ireland in 1998, he has focused on painting. He lives in Pennsylvania, and more of his work can be seen on his family's Web site, http://www.maguiregallery.com. This article examines recent experiences in Europe in the preparation and use of strategic spatial frameworks to guide territorial development in city regions. It discusses the recent revival of interest in such strategic planning and the driving forces that create the momentum for it. We examine three cases recognised as in the forefront of this revival: the 1996 Spatial Strategy for the Hanover City Region, the 1997 Spatial Structure Plan for Flanders, and the 2001 Northern Ireland Regional Development Strategy. Each is described in terms of context and motivations, policy approaches and concepts, institutional arenas, impacts, and outcomes. The article concludes with general lessons from these cases and the European experience generally for the enterprise of strategic spatial planning.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".