Elder abuse and neglect in Ireland: results from a national prevalence survey
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To measure the 12-month prevalence of elder abuse and neglect in community-dwelling older people in Ireland and examine the risk profile of people who experienced mistreatment and that of the perpetrators. DESIGN: Cross-sectional general population survey. SETTING: Community. PARTICIPANTS: People aged 65 years or older living in the community. METHODS: Information was collected in face-to-face interviews on abuse types, socioeconomic, health, and social support characteristics of the population. Data were examined using descriptive statistics and logistic regression, odds ratios (OR) and 95% confidence intervals (95% CI) are presented. RESULTS: The prevalence of elder abuse and neglect was 2.2% (95% CI: 1.41-2.94) in the previous 12 months. The frequency of mistreatment type was financial 1.3%, psychological 1.2%, physical abuse 0.5%, neglect 0.3%, and sexual abuse 0.05%. In the univariate analysis lower income OR 2.39 (95% CI: 1.01-5.69), impaired physical health OR 3.41 (95% CI: 1.74-6.65), mental health OR 6.33 (95% CI: 3.33-12.0), and poor social support OR 4.91 (95% CI: 2.1-11.5) were associated with a higher risk of mistreatment but only social support and mental health remained independent predictors. Among perpetrators adult children (50%) were most frequently identified. Unemployment (50%) and addiction (20%) were characteristics of this group.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it