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Record W3161866846 · doi:10.1177/10497315211010959

Preventing Harm to Vulnerable Older Adults: A Social Justice Perspective

2021· article· en· W3161866846 on OpenAlex

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.

Bibliographic record

VenueResearch on Social Work Practice · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsLakehead University
Fundersnot available
KeywordsLegislationFocus groupSocial workHarmElder abuseQualitative researchStatutory lawGrounded theoryEconomic JusticeCriminologyPsychologyPublic relationsSocial psychologyNursingMedicineSociologyPolitical scienceLawPoison controlSuicide preventionEnvironmental health

Abstract

fetched live from OpenAlex

This article presents the results from a qualitative study that explored how legislation in British Columbia, intended to protect vulnerable adults from harm, is implemented in practice. The legislation contains guiding principles that require the least restrictive and minimally intrusive form of support or intervention be used and that the adult’s wishes be respected. Sixteen professionals who work as elder abuse responders in British Columba participated in this study through interviews and a focus group. Fifteen of the study participants were social workers. Grounded theory method was used, and themes were identified. The first theme reveals that responders prefer to obtain older adult consent to service provider involvement, rather than forcing compliance by using statutory authority. The second theme reveals that responders may not be able to intervene in a minimally intrusive manner because of resource shortages and organizational structural issues. These findings have human rights and social justice implications.

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)0.007
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.005
Science and technology studies0.0100.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.139
GPT teacher head0.518
Teacher spread0.379 · 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