Mediation Outcomes: Lawyers' Experience with Commercial and Construction Mediation in the United Kingdom
Bibliographic record
Abstract
This paper reports on the final phase of a three-year study into the role of lawyers in the development of Alternative Dispute Resolution (ADR) following the implementation of the Civil Procedure Rules in 1999 and draws comparisons between US and Canadian studies. The paper centres on the use of mediation, which is recognised as the pre-eminent ADR process in the UK. Data are analysed from 30 interviews with specialist commercial and construction-related lawyers who have utilised mediation in the dispute resolution process. Interviewees were selected from respondents to a national survey of lawyers specializing in commercial and construction-related practice. Whereas reaching settlement is typically regarded as the measure of success, this research focuses on other "mediation outcomes" experienced by solicitors and barristers, the majority of whom are repeat-users of the process. The data reveal that achieving settlement in a timely and cost-effective manner is among the chief advantages mediation has over litigation, but a number of other benefits can make the process an eligible option in dispute resolution. In particular, the process of mediation allows the parties to focus on or narrow the issues in dispute. Lawyer interviewees also report tactical advantages from engaging in mediation. These range from providing the opportunity to examine the strengths and weaknesses of the case to testing witnesses and evidence. The data suggest lawyers are developing new practices in mediation, such as proposing the process in order to provide proof to the courts of willingness to compromise or participating in mediation in order to send messages to the opposition. Mediator-interviewees report a trend in mediation where cases are more difficult to settle and the participants more cognisant of mediation tactics.
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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 | 0.012 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.006 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 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".