Prods and Pleas: Limited Government in an Era of Unlimited Harm
Bibliographic record
Abstract
Not just a system of checks and balances ideally tuned to constrain collective political action, the constitutional division of authority also may be seen as a system of “prods and pleas” in which distinct governmental branches and actors can push each other to entertain collective political action when necessary. Though prods and pleas are an inversion of the assumed direction of checks and balances, they are not a radical reconfiguration of the basic structure and principles of American government. Rather, they are limited government’s fail-safe: a latent capacity inherent to a system of divided authority that does and should activate when the external pressures of a changing world threaten the sustainability of disaggregated governance. By understanding and embracing their role in the shadow logic of prods and pleas, judges and other public officials can protect limited government by, when necessary, counteracting its potential to overprefer passivity. Through the case study of climate change nuisance litigation, we examine how three potential obstacles to merits adjudication—the political question doctrine, standing, and implied preemption—should be evaluated in recognition of the significance of prods and pleas. We conclude that federal and state tort law provide an important defense mechanism that can help limited government sustain itself in the face of climate change and other dramatic twenty-first century threats, where the nature of the threat is, in large part, a function of limited government itself. As a residual locus for the airing of grievances when no other government actor is responsive to societal need, the common law of tort is a—and perhaps the—paradigmatic vehicle for the expression of prods and pleas. Although climate change plaintiffs still face long odds on the actual merits of their claims, judges would sell short their institutional role if they dismissed such claims as categorically beyond the proper domain of the courts and the common law. They would duck and weave when they should prod and plead.
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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 | 0.013 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.050 |
| Scholarly communication | 0.015 | 0.024 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.012 | 0.014 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".