Bibliographic record
Abstract
Judicial dispute resolution is common in family courts, where it usually consists of informal efforts to bring about settlement in pre-trial conferences. Many judges are especially eager to promote settlement in child custody and visitation cases. This paper will critically evaluate informal JDR in parenting disputes, by asking whether and to what extent it is in the best interests of the children involved. It begins by identifying several features which distinguish custody and access disputes from other types of civil litigation, and which are relevant to the normative analysis of JDR in this context.\nThe paper then describes and evaluates three arguments which might be made against informal JDR in custody and access. First, one might argue that there is too much settlement and not enough neutral adjudication of civil cases in general, or of parenting cases in particular. Second, one might applaud settlement in these cases but say that the efforts of the justice system to encourage it are ineffectual or inappropriate. Third, one might approve of settlement-seeking by the justice system in custody and access cases, but maintain that the system’s reliance on judges to do this work is mistaken.\nThe first two arguments can be rejected, but the author argues that the third has substantial merit. This paper will conclude by arguing that facilitative mediation by nonjudges appears to have significant advantages over judicial settlement-seeking as a way to resolve custody and access cases without adjudication. Assigning settlement-seeking to facilitative non-judges could revitalize both settlement-seeking and adjudication in family court.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.029 | 0.075 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.011 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".