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Record W2318715715 · doi:10.1300/j112v04n02_06

Elder Abuse

2001· article· en· W2318715715 on OpenAlexaboutno aff
Elizabeth Podnieks

Bibliographic record

VenueJournal of Religious & Theological Information · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsnot available
Fundersnot available
KeywordsElder abuseNeglectFaithIntervention (counseling)CriminologyFoundation (evidence)PsychologySuicide preventionPolitical scienceMedicinePoison controlPsychiatryLawMedical emergencyTheology

Abstract

fetched live from OpenAlex

ABSTRACT Churches can play a critical role in the prevention of elder abuse and neglect by fostering heightened public awareness of elder mistreatment, as well as providing services to families and others at risk for perpetrating abuse. Research indicates that faith leaders are one of the most likely groups of caregivers to encounter cases of elder abuse, but unfortunately they rarely refer or report these cases to agencies that can help. Religious leaders require training to educate them about elder abuse issues to identify the important roles they can play in prevention, intervention and treatment. Pastoral workers and theology students should also be exposed to educational concepts regarding this problem. In an age of ecumenicism and interfaith movements, religious leaders must become a conduit for the well-being and safety of older adults. This paper discusses a study underway in Ontario, Canada, funded by Health Canada (Ontario Region) and the Ontario Trillium Foundation to determine the awareness level that faith leaders possess about elder abuse. A literature review reveals unsettling gaps in knowledge and information about this complex problem.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.704
Threshold uncertainty score0.357

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.015
GPT teacher head0.292
Teacher spread0.276 · 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 designNot applicable
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

Citations1
Published2001
Admission routes1
Has abstractyes

Explore more

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