Bibliographic record
Abstract
This essay uses Justice Scalia’s and Breyer’s dueling opinions in FCC v. Fox Television Stations, Inc. (2009), as a vehicle for exploring the contested relationship between politics and policy change in administrative law. In Fox, a five – justice majority led by Justice Scalia insisted that an agency’s abandonment of an old policy position in favor of a new one should survive review for arbitrariness so long as the agency explains why its new position is reasonable. A different five – justice majority (yes – that adds up to ten) led by Justice Breyer thought that Justice Scalia’s stance left too much room for politicization of policymaking. To curb such influence, Justice Breyer insisted that an agency, to justify abandoning an old policy, must explain why it was reasonable to change from its old policy to the new one. Neither of these two approaches in Fox hits quite the right note. Justice Scalia’s view unduly minimizes the problem of politicization. Justice Breyer’s solution seems formalistic and easy to evade. A better way forward may lie in combining Justice Scalia’s simpler framework with Justice Breyer’s more suspicious attitude. Taking a cue from Justice Frankfurter in Universal Camera, the courts should respond to the potential for excessive politicization of agency policymaking not with more doctrinal metaphysics but with a suspicious “mood.”
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".