Revisiting the Doctrine of Intergenerational Equity in Global Environmental Governance
Bibliographic record
Abstract
In the absence of binding international enforcement mechanisms, global environmental governance must rely on a legal framework that has widespread normative force around the world. In addition, such a framework should be sufficiently detailed and pragmatic to allow for effective implementation, should achieve the goal of environmental protection, and should be reasonable in terms of the level of sacrifice expected of the present generation, particularly in the developing world. This Article argues that the comprehensive doctrine of intergenerational equity is an effective and appropriate legal framework for global environmental governance. The doctrine of intergenerational equity posits the present generation of humans as simultaneously beneficiaries of the planetary legacy handed down from past generations, and trustees of that legacy for the future. The doctrine integrates the language of rights and responsibility, and incorporates viable implementation mechanisms. As a result, the doctrine of intergenerational equity is superior to the presently hegemonic paradigm of sustainable development. I conclude that the international community should adopt the doctrine of intergenerational equity as a framework for global environmental governance.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.023 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".