More Alike Than Different: Local Collaboration On Brownfields Issues In Border Communities
Bibliographic record
Abstract
In the Unites States (US) and Mexico there are many well-publicized national borders initiatives. Ultimately, land use and economic development decisions are made on a local level. For these reasons a regional approach to border brownfields redevelopment makes sense, the question is whether or not the geopolitical differences between the countries would be assets or challenges. This presentation looks historically at the dynamics, changes in populations and demographics over the past quarter of a century and the impact that they are having on environmental, social and economic factors today along the US Mexico Border. The issues of simultaneous growth and decline, the changing economic base, outward growth on the cities’ boundaries, increased transportation demands are the very characteristics that mark the regional brownfields issues. In the JuarezE1 Paso region, even the periphery properties where new industries are moving have many brownfields issues. The lack of infrastructure in the barrios has created unregulated businesses such as auto-recyclers and illegal dumping. These environmental issues are pasted on top of significant social issues that are a part of many of the root problems. Another challenge to the regional perspective is that of jurisdictional authorities and the dynamic between the federal roles of maintaining and enforcing policies and the state and local approach of solving problems through creative measures that depend on personal acquaintance, agreements and collaboration. As the regional perspective suggests and as the statistics support, there are more elements of life, economy and the enviromnent that are shared © 2002 WIT Press, Ashurst Lodge, Southampton, SO40 7AA, UK. All rights reserved. Web: www.witpress.com Email witpress@witpress.com Paper from: Brownfield Sites, CA Brebbia, D Almorza & H Klapperich (Editors). ISBN 1-85312-918-6
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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 | 0.001 | 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) | 0.003 | 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 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".