Sustainable development paths: investigating the roots of local policy responses to climate change
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 it