Sustainability: Steeped in Values, Animated by Process, and Structured (but Not Dictated) by Experts
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
How should we as a society understand and pursue environmental sustainability? This question has long occupied environmental scholars, activists, and practitioners, and despite multiple decades of intellectual debate, the idea of sustainability remains fraught. What is it that should be sustained: Economic welfare? Ecological resilience? Or something else? In Sustainable Values, Sustainable Change, philosopher Bryan Norton provides a thoughtful account of the issues currently vexing sustainability, refracting them through the lens of environmental values and then drawing together these insights into a practical program of action. His book argues that no single theory of environmental value can tell us what to sustain and that instead, values need to be described and transformed through the processes of actual place-based decisionmaking. The book provides a philosophical primer for environmental scholars and practitioners, establishing the philosophical and ethical foundations that can both frame and guide the pursuit of adaptive ecosystem management. This book serves as a culmination of Bryan Norton's 30-plus-year career in environmental ethics and policy. Now a distinguished professor emeritus of philosophy and public policy at Georgia Institute of Technology, Norton has built up a coherent and powerful body of work through his career, making valuable contributions to pragmatic philosophy, environmental ethics, and ecological economics. Although Bryan's core arguments and concerns have developed over time, they remain firmly linked to the ideals of philosophical pragmatism and political pluralism, themes that are crystallized clearly in the present volume.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it