Mediators Using Non-Binding Evaluations and Making Settlement Proposals
Bibliographic record
Abstract
Working Group 3 (WG3) of the Task Force on Mixed Mod Dispute Resolution explores the topic of mediators using non-binding evaluations and making settlement proposals as a form of mixed mode dispute resolution. Mediators employing such techniques might express their assessment of the strength of a party’s case, predict the outcome of any arbitration or litigation that might follow the mediation or, at the parties’ request, make an outright suggestion of how the parties could settle the dispute. WG3 provides a framework for assessing a mixed mode within a mediation process. It puts forth that mediators should explicitly discuss process design with parties, in light of WG3’s Grid Regarding Party Autonomy in Mediation and Conciliation and the potential impact of a mediator’s intervention on parties’ self-determination regarding substance and process. Moreover, WG3 shows how a mediator can align and adapt mediation techniques with the parties’ process choices regarding substance and process.
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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 | 0.225 | 0.249 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.029 | 0.023 |
| Open science | 0.007 | 0.026 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".