Strategy-Proof Multi-Issue Mediation: An Application to Online Dispute Resolution
Bibliographic record
Abstract
Mediation (assisted negotiation) is the preferred alternative dispute resolution approach that has given rise to a multibillion-dollar industry worldwide. Online dispute resolution (ODR) providers rely heavily on mechanized e-negotiation systems. Inspired by their structured negotiation systems, we follow a market design approach and develop a tractable framework in search of strategy-proof, efficient, and individually rational mediation mechanisms. We characterize the full family of such mechanisms and the domains of preferences in which they exist. A necessary and sufficient condition for the existence of such protocols is the so-called quid pro quo property; a weak condition that formulates preferences for compromise solutions. This paper was accepted by Axel Ockenfels, behavioral economics and decision analysis. Funding: S. Özyurt is grateful for the support he received from the Social Sciences and Humanities Research Council and the European Commission [Grant 659780]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2023.00383 .
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".