Mediation in Cases of Elder Abuse and Mistreatment: The Case of University of Windsor Mediation Services
Bibliographic record
Abstract
Mediation in the case of elder abuse and mistreatment is increasingly employed in North America to resolve conflicts that disproportionately affect older adults. The attendant dangers of mediation in these cases require awareness of and sensitivity to issues facing older adults and their families, including elder abuse, ageism, and consent and capacity. This article charts the introductory stages of an elder mistreatment mediation project started through a law school-based mediation clinic. Responding to expressed local need, the project developed an Intake Guide that attempts to balance the autonomy of the older adult with safety screening. The model employs an interdisciplinary approach, with specialist social workers acting as advocates throughout the process. Lessons learned from the project include: the importance of training; the need for flexible and responsive approaches to mediation; the importance of a specialized intake and screening tool; the benefits of interdisciplinary, strengths-based approaches and the centrality of collaborative community relationships to ensure program sustainability.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.037 | 0.006 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".