Dewey Ranch and the Role of the Bankruptcy Court in Decisions Relating to the Permissible Control of National Sports Leagues Over Individual Franchise Owners
Bibliographic record
Abstract
INTRODUCTION 106 I.CHAPTER 11 BANKRUPTCY 108 II.FACTUAL BACKGROUND OF THE PHOENIX COYOTES BANKRUPTCY CASE 110 A. Changing Hunting Grounds: From Canada to Phoenix and Back Again 110 B. The Steady Decline of the Coyotes Franchise ........ 111 C. Relief Sought in the Bankruptcy Proceeding ......... 112 D. Antitrust Violations Raised During the Bankruptcy Proceeding 113 III.ANTITRUST LAW AND PROFESSIONAL SPORTS LEAGUES ...... 115 A. The Sherman Act, Section 1 115 B. Professional Sports Leagues and the Single Entity Defense 116 IV.JUDGE BAUM S FACEOFF: A CASE OF FIRST IMPRESSION FOR PROFESSIONAL SPORTS TEAMS UTILIZING THE BANKRUPTCY COURT TO FORCE FRANCHISE SALE AND RELOCATION 124 A. Dewey Ranch I The Hearing 124 1. Section 365: Assumption and Assignment ......... 125 i. Ownership Terms 127 ii. Relocation Provision 127 2. Section 363: A Sale Free and Clear 128 i. Section 363(f)(4) 129
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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 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.014 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.015 | 0.011 |
| Insufficient payload (model declined to judge) | 0.013 | 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".