An Exploration of Elder Abuse in a Rural Canadian Community
Bibliographic record
Abstract
The Elder Abuse Awareness Committee of Chatham Kent, Ontario employed ten seniors (65 years of age or older) from this rural community to conduct an investigation of the knowledge and prevalence of elder abuse among their peers. The 236 study participants interviewed by the specifically trained elders were predominantly female ranging in age from 55 to over 90. The majority were still living in their own homes, had completed high school or post-secondary education, and reported relatively good health. These attributes predicted a rate of disclosed elder abuse within the lower end of the four to ten percent range typically reported in the literature. However, an incidence rate of 19.1% was reported nearly double the upper end of the range, with 137 separate acts of verbal, emotional, and financial abuse reported by participants to their peers. Formal paid caregivers were identified as the most frequent perpetrators though two thirds of the incidents were not reported to anyone at the time they occurred primarily due to embarrassment, fear, being dependent upon the abuser, or simply not knowing who to tell about the abuse. In the minority of instances when the abuse was reported the most common sources informed were the police, a family physician, or a helping professional in the community. KEYWORDS: Elder abuse, rural, Canada
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.024 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".