Outcasting: Enforcement in Domestic and International Law
Bibliographic record
Abstract
This Article offers a new way to understand the enforcement of domestic and international law that we call “outcasting.” Unlike the distinctive method that modern states use to enforce their law, outcasting is nonviolent: it does not rely on bureaucratic organizations, such as police or militia, that employ physical force to maintain order. Instead, outcasting involves denying the disobedient the benefits of social cooperation and membership. Law enforcement through outcasting in domestic law can be found throughout history - from medieval Iceland and classic canon law to modern-day public law. And it is ubiquitous in modern international law, from the World Trade Organization to the Universal Postal Union to the Montreal Protocol. Across radically different subject areas, international legal institutions use others (usually states) to enforce their rules and typically deploy outcasting rather than physical force. Seeing outcasting as a form of law enforcement not only helps us recognize that the traditional critique of international law - that it is not enforced and is therefore both ineffective and not real law - is based on a limited and inaccurate understanding of law enforcement. It also allows us to understand more fully when and how international law matters.
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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 | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.028 |
| Scholarly communication | 0.017 | 0.011 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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".