The sustainable development paradox: urban political economy in the United States and Europe * Rob Krueger and David Gibbs (Eds)
Bibliographic record
Abstract
Recent work in the field of urban political ecology has brought to attention the lack of critical discussion surrounding notions of ‘sustainability’ in local planning and policy discussions. In The Sustainable Development Paradox: Urban political economy in the United States and Europe Rob Krueger and David Gibbs edit a comprehensive volume that highlights many current critical conversations about sustainability. Work on sustainability generally begins by stating that it is a widely recognized concept with no clear definition and therefore the need to define it becomes paramount. Krueger and Gibbs go beyond this tired trope and challenge current theorizations of sustainability while taking up critical analysis of its use in material practice. The question that runs throughout the volume is: how can we discuss achieving a state of sustainability under the current economic system? Through detailed case studies, the authors take a distinctly geographical approach to discussions of localized meanings of sustainability and their relationship to neoliberalism.
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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 | 0.001 | 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) | 0.000 | 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".