Bibliographic record
Abstract
Figures and Tables Preface Introduction: The Roots of Moral Austerity in Environmental Policy Discourse Part I. Moral Principles and Environmental Policy: Basic Issues and Dilemmas Issue 1: Science as a Substitute for Moral Principles? Science as a Substitute for Moral Principle / Susan Buck Science Is No Substitute for Moral Principle / Robert Paehlke Issue 2: Environmental Justice without Social Justice? Why Environmental Thought and Action Must Include Considerations of Social Justice / Joel J. Kassiola Environmental Justice: Private Preference or Public Necessity? / Joe Bowersox Issue 3: Nature Has Only an Instrumental Value Sustainability: Descriptive or Performative? / Bryan Norton Are Environmental Values All Instrumental? / Mark Sagoff Issue 4: Intrinsic Value Implies No Use and a Threat to Democratic Governance A Practical Concept of Nature's Intrinsic Value / John Martin Gillroy On Intrinsic Value and Environmental Ethics / Bob Pepperman Taylor Part II: Case Studies in Sustainable Environmental Policy and Law Introduction The Subnational Role in Sustainable Development: Lessons from American States and Canadian Provinces / Barry G. Rabe Sustainable Development and Natural Hazards Mitigation / Anna K. Schwab and David J. Brower Sustainable Governance / Jonathan Baert Wiener Sustainability in the United States: Legal Tools and Initiatives / Celia Campbell-Mohn Sustainable Development and the Use of Public Lands / Jan G. Laitos The Impact of Political Institutions on Preservation of the U.S. and Canadian National Parks / William Lowry Global Environmental Accountability: The Missing Link in the Pursuit of Sustainable Development? / Robert V. Percival Part III: Moral Principles and Sustainable Environmental Policy: An Analysis of Ends and Means Introduction Issue I: Science and Sustainability Sustainability, Sustainable Development, and Values / Robert Paehlke Saving All the Parts: Science and Sustainability / Susan Buck Discussion Issue 3: A Sustainable Environment as an Instrumental Value? The Hedgehog, the Fox, and the Environment / Mark Sagoff Why Not Foxy Hedgehogs? / Bryan Norton Discussion Issue 4: A Sustainable Environment as an Intrinsic Value? Sustainability: Restricting the Policy Debate / John Martin Gillroy Comments on Sustainability / Bob Pepperman Taylor Discussion Conclusion: Democratic Competence, Accountability, and Education in the Twenty-first Century Notes References Contributors
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.
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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".