Sustainable development paths: investigating the roots of local policy responses to climate change
Bibliographic record
Abstract
Abstract As the implications of a changing climate come into focus, attention must shift to effectively stimulating action in response to this dramatically pervasive phenomenon. Responses to climate change, however, are embedded in institutional procedures, technological pathways and cultural practices that are characterized by deep inertia. By paying express attention to linkages among disciplines, this paper takes steps towards contributing a richer definition of the development path concept, identifying realms of inquiry that may together be called a ‘development path’ literature and discussing ways in which this sheds light on effective responses to global climate change. This paper reveals the value of fundamentally inter‐disciplinary approaches to climate change responses, the necessity of a deeper understanding of the context of action on climate change and the ubiquity of path dependence. Rooted in the underlying socio‐technical, institutional and socio‐cultural development paths, barriers to action may best be addressed through contextually specific, inter‐disciplinary analyses of collective human behaviour. Copyright © 2009 John Wiley & Sons, Ltd and ERP Environment.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.011 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".