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Record W3113719001 · doi:10.1093/geroni/igaa057.2145

When Helping Hurts: Nonabusing Family, Friends, and Neighbors in the Lives of Elder Mistreatment Victims

2020· article· en· W3113719001 on OpenAlexaff
Risa Breckman, David Burnes, Sarah Ross, Philip C Marshall, J. Jill Suitor, Mark S. Lachs, Karl Pillemer

Bibliographic record

VenueInnovation in Aging · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsElder abuseHelplinePsychologyDistressPsychiatryMedicineClinical psychologySuicide preventionMedical emergencyPoison control

Abstract

fetched live from OpenAlex

Abstract Research conducted by the NYC Elder Abuse Center (NYCEAC) at Weill Cornell Medicine and colleagues found that concerned persons experience significant distress knowing about elder abuse and trying to assist victims. Data will be presented from a nationally representative survey which included items on concerned persons in elder abuse. Thirty-one percent of all respondents reported that they had a relative or friend who experienced elder abuse; of these, 61% had attempted to help the victim and over 80% reported the experience is very or extremely stressful (2017). By both knowing about and becoming involved in elder abuse situations, concerned persons experience significant emotional and practical problems and often need professional help. NYCEAC’s Elder Abuse Helpline for Concerned Persons is the first of its kind in the country. The Helpline’s services and structure will be explained, and possibilities for replication in other locations will be explored.

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.

How this classification was reachedexpand

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)0.000
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.309

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.040
GPT teacher head0.306
Teacher spread0.266 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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