A Perspective on Ontario’s Adult Guardianship Law: The Role of Law in Adjudicating Disputes Caused by Old Men Marrying Young Women.
Bibliographic record
Abstract
The well-publicized American legal battle of the “young and sexy” Anne Nicole Smith over the estate of her late “rich old husband,” J. Marshall Howard, provides an opportunity to examine the relationship between popular stereotypes and adult guardianship law. Under popular impressions of “rich old men marrying sexy young women,” impressions that cross borders and cultures, law serves as a stage on which old men, young women, their families, lawyers, physicians and other actors struggle over the “old men’s” property and autonomy. This study provides a narrow perspective on how these popular and stereotypical stories are mirrored in real court cases in the Province of Ontario, Canada. The case-law perspective provides the empirical ground for raising the argument that when ageism and sexism are involved, the law might be diverted from its intended use as a positive protective tool to become just another negative social mechanism of elder abuse.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".