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Record W2809615368 · doi:10.1093/geront/gny074

Utilization of Formal Support Services for Elder Abuse: Do Informal Supporters Make a Difference?

2018· article· en· W2809615368 on OpenAlex
David Burnes, Risa Breckman, Charles Henderson, Mark S. Lachs, Karl Pillemer

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Gerontologist · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council
KeywordsElder abusePsychologyBusinessInternet privacyComputer securityMedical emergencySuicide preventionPoison controlMedicineComputer science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.056
GPT teacher head0.345
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it