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Record W3208311062 · doi:10.1177/21582440211053256

Under Reporting of Abuse of Older Adults in the Canadian Prairie Provinces

2021· article· en· W3208311062 on OpenAlexafffundabout
Kerstin Roger, Christine A. Walsh, Donna Goodridge, Stacey Miller, Marina Cewick, Carla R Liepert

Bibliographic record

VenueSAGE Open · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsUniversity of SaskatchewanUniversity of CalgaryUniversity of Manitoba
FundersPrairieaction Foundation
KeywordsElder abuseQualitative researchSuicide preventionMedicineService providerPoison controlPsychologyGerontologyService (business)Environmental healthSociology

Abstract

fetched live from OpenAlex

This tri-provincial mixed methods study explores the reasons for under reporting abuse of older adults in the Prairie Provinces of Canada. Abuse of community-residing older adults, and specifically the reasons for not reporting such abuse, is poorly understood. This paper discusses the findings of the qualitative arm of the study that collected data through interviews with older adults having histories of abuse, their family members and service providers from related sectors. Content analysis was employed to identify three key themes: (1) recognizing and naming abuse; (2) barriers to disclosure; and (3) facilitators of reporting. Recommendations are made to improve awareness, education, and service provision in prevention and treatment of the abuse of community-residing older adults.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score0.297

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 communication0.0000.000
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 head0.038
GPT teacher head0.340
Teacher spread0.303 · 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

Citations4
Published2021
Admission routes3
Has abstractyes

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