Recent Legal and Regulatory Developments in Slotting Allowances and Category Management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
DAVID BALTO is a partner, White and Case L.L.P. He is the former head of the Policy Office, Bureau of Competition, Federal Trade Commission. Slotting allowances and category management are increasingly the subject of antitrust litigation and antitrust enforcement actions. In the past two years, slotting allowances received greater attention before the Federal Trade Commission (FTC) and Canadian Competition Bureau (CCB), in terms of both distribution practices and mergers. Several cases are in litigation, and in Spring 2002, two important decisions were handed down that begin to illuminate the legal rules addressing slotting allowances. The controversy over slotting allowances appears as vibrant as it has for the past few years, with increasing attention likely in the future. What were the major recent developments involving slotting allowances and category management?
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it