Utilization of Formal Support Services for Elder Abuse: Do Informal Supporters Make a Difference?
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Few elder abuse (EA) victims ever seek or receive assistance from formal support services designed to mitigate risk and harm of revictimization. This study examined whether the presence of third-party "concerned persons" in victims' personal social networks plays a role in enabling formal support service utilization. RESEARCH DESIGN AND METHODS: A representative population-based survey administered to adults (n = 800) in New York State identified 83 EA cases from the past year. Penalized likelihood logistic regression was used to examine the relationship between availability of a concerned person and victim formal support services usage. RESULTS: EA victims who had a concerned person in their personal life were significantly more likely to use formal EA support services than victims without a concerned person. EA victims who lived with their perpetrator were significantly less likely to use formal services. DISCUSSION AND IMPLICATIONS: Third-party concerned persons represent a critical population to target in efforts designed to promote EA victim help-seeking.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".