CONTACT IN THE CANADIAN PHARMACEUTICAL INDUSTRYTPF
Bibliographic record
Abstract
This study asks whether price leadership and multi-market contact act concurrently under conditions that predict the multi-market contact mutual forbearance mechanism to be active. Also, it finds that patent expiry/licensing enables a first-mover to provide a protective price umbrella for followers, encouraging prices to rise. Identifying conditions that differentiate mechanisms of tacitly cooperative market dynamics such as multi-market contact and price leadership is a complicated challenge that this study attempts to address. Multi-market contact occurs when the same firms compete with each other in more than one distinct product and/or geographic market (Baum and Korn, 1999). Multimarket contact, under various asymmetric market conditions, leads to mutual forbearance, a kind of tacit collusion that benefits oligopolistic firms through higher and more stable prices and profits (Bernheim and Winston, 1990). When a firm dominates in a market, it has a sphere of influence (Baum and Korn, 1999). Multi-market contact firms avoid pricing actions and other competitive behavior in each others ’ spheres of influence for two possible reasons: fear of retaliation within their own spheres of influence (Edwards, 1955) and/or to gain from tacit cooperation that allows superordinate market domination (Simmel, 1950).
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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 | 0.000 |
| 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) | 0.017 | 0.002 |
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; both teacher heads agree on what is shown here.
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".