Beyond the Five Stages of Grief: Best Practices for Estate Mediation and Advising the Bereaved Client
Bibliographic record
Abstract
In 1789, Benjamin Franklin famously wrote that nothing in this world is certain “except death and taxes.” Yet, as the baby boomer generation increasingly comprises our senior population, a third near-certainty has emerged: family disputes regarding the estate of a deceased family member. This article reviews the Canadian legislative response to these estate disputes thus far through the introduction of Rule 75.1 of the Ontario Rules of Civil Procedure. It is argued that the introduction of mandatory mediation provides the Estates Bar with an opportunity to review emerging demands on lawyers as well as mediation and bereavement literature in order to discern best practices for estate mediation. This article then compares current professional approaches to bereaved parties with modern bereavement literature. Finally, this article sets out a preliminary framework of best practices for estate mediation, arguing that the “new estates lawyer” must proactively incorporate knowledge of the psychological dynamics of grief into preparation for and participation in estate mediation.
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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 | 0.051 | 0.072 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.025 | 0.031 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.007 | 0.019 |
| Research integrity | 0.008 | 0.023 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".