Market Definition—Achieving an Integrated Analysis
Bibliographic record
Abstract
Economic analyses employed by economists to address market definition are often performed in conjunction with additional economic analyses focused on addressing other aspects of a merger. Analyses used to evaluate a merger should work together as an integrated unit, and any inconsistencies between them point to a flawed set of analyses. We review lessons from two litigated merger cases (one in Canada and one in the United States) in which the enforcement agencies adopted inconsistent positions with regard to market definition and other aspects of the case. In The Commissioner of Competition v. CCS Corp., results stemming from the competitive effects analyses were found by the Competition Tribunal in Canada to be inconsistent with the claimed geographic market. In In re Polypore International, Inc., the FTC staff sought divestiture of assets located outside the claimed geographic market, raising serious questions about the proposed geographic market, the proposed remedy, or both.
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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 | 0.025 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.011 | 0.006 |
| Science and technology studies | 0.004 | 0.022 |
| Scholarly communication | 0.023 | 0.046 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.006 | 0.008 |
| 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".