Planning the emergent Basque megalopolis as a natural multi-metropolitan complex
Bibliographic record
Abstract
The author is Professor Emeritus of Planning, Regional Development and Public Policy at the University of Arizona, Tucson, Arizona, USA and Biarritz, France. He was formerly Professor and Chairman of the Department of City and Regional Planning at Harvard and before that held a similar position at Rutgers University. He has been a visiting professor at five different Latin American universities. He was for ten years the Review Editor of the Journal of the American Institute of Planners and was the initial compiling editor of Ekistics magazine. Professor Mann was national Chairman of the American Institute of Certified Planners, and was elected Fellow of the Institute in 2003. His research into Basque Planning has involved several months of field-work in the Basque region every year since 1999. The paper that follows is based on a presentation that he gave at the international symposion on 'The Natural City," Toronto, 23-25 June, 2004, sponsored by the University of Toronto's Division of the Environment, Institute for Environmental Studies, and the World Society for Ekistics.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".