Bibliographic record
Abstract
Abstract Although the task of formulating an appropriate policy response to the problem of anthropogenic climate change is one that raises a number of very difficult normative issues, environmental ethicists have not played an influential role in government deliberations. This is primarily due to their rejection of many of the assumptions that structure the debates over policy. This book offers a philosophical defense of these assumptions in order to overcome the major conceptual barriers to the participation of philosophers in these debates. There are five important barriers: First, the policy debate presupposes a stance of liberal neutrality, as a result of which it does not privilege any particular set of environmental values over other concerns. Second, it assumes ongoing economic growth, along with a commitment to what is sometimes called a weak sustainability framework when analyzing the value of the bequest being made to future generations. Third, it treats climate change as fundamentally a collective action problem, not an issue of distributive justice. Fourth, there is the acceptance of cost-benefit analysis, or more precisely, the view that a carbon-pricing regime should be guided by our best estimate of the social cost of carbon. And finally, there is the view that when this calculation is undertaken, it is permissible to discount costs and benefits, depending on how far removed they are from the present. This book attempts to make explicit and defend these presuppositions, and in so doing offer philosophical foundations for the debate over climate change policy.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.023 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".