Bibliographic record
Abstract
Legal philosophers often ask whether a person has a reason to obey the law simply because it is the law. We ask the contrary question: does a person have a reason to disobey the law simply because it is the law? Many philosophers who have considered the question of disobedience have focused on injustice; others have defended disobedience on libertarian or anarchist grounds. In contrast, we argue that there is a content-independent reason to disobey the law even when it is not unjust, illegitimate, or otherwise undesirable. Legal philosophers generally agree that law claims peremptory authority, but they also generally agree that any duty to obey the law is substantially more limited. We argue that insofar as the law makes inflated claims to authority, it generates a content-independent reason to disobey. This anti-authoritarian principle is grounded in the virtue of clearly communicating one’s political commitments to others within a democratic society. By disobeying, one communicates one’s conviction that the law makes inflated claims to authority. We show how our account of disobedience as such is distinct from more familiar theories of anarchism and civil disobedience and argue that it is applicable whether one lives under conditions of justice or injustice.
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 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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.040 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".