MétaCan
Menu
Back to cohort
Record W2336026470 · doi:10.1017/s0714980816000209

Best-Practice Guideline on the Prevention of Abuse and Neglect of Older Adults

2016· review· fr· W2336026470 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2016
Typereview
Languagefr
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsToronto Metropolitan UniversityRegistered Nurses' Association of OntarioConestoga CollegeUniversity of Calgary
FundersGovernment of Canada
KeywordsNeglectGuidelinePsychologyElder abuseMedicineGerontologyPsychiatryEnvironmental healthSuicide preventionPoison controlPathology

Abstract

fetched live from OpenAlex

A systematic review of the literature was conducted to identify effective approaches to preventing and addressing abuse and neglect of older adults within health care settings in Canada. The review was conducted using databases searched from January 2000-April-May 2013. Additionally, expert panel members submitted article citations from personal archives. Two research associates (NRA) screened each title and abstract for inclusion. After inter-rater reliability was determined between the NRAs (Kappa score of 0.76), the records were divided, appraised, and data extracted independently. The review resulted in 62 studies that focused on identifying, assessing, and responding to abuse and neglect of older adults; education, prevention, and health promotion strategies; and organizational and system-level supports to prevent and respond to abuse and neglect. Abuse and neglect of older adults remains under-explored in terms of evidence-based studies; consequently, further research in all of the areas described in the results is needed.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.930
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.286
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