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Caring for Residents with Dementia and Aggressive Behavior: Impact of Life History Knowledge

2007· article· en· W45541292 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

VenueJournal of Gerontological Nursing · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsThe North South InstituteShared Services CanadaAlzheimer Society of CanadaHealth CanadaUniversity of Ottawa
Fundersnot available
KeywordsAggressionEmpathyDementiaPoison controlInjury preventionMedicineNursing homesPsychologySuicide preventionHuman factors and ergonomicsClinical psychologyPsychiatryNursingMedical emergencyDisease

Abstract

fetched live from OpenAlex

Aggressive behavior is a frequent occurrence in the care of individuals with dementia. In this pilot study, the authors explored the impact of sharing patients' life histories with staff on four patients' aggression and interviewed nursing staff and families to determine the impact that developing and learning about the life history had on them. There was some evidence of decrease in aggression among the patients who demonstrated frequent aggressive behavior at baseline. Life history information affected some staff members profoundly, leading toward a greater empathy for the patient. This study demonstrates the feasibility and potential value of using life histories with residents who demonstrate aggressive behavior.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score0.224

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 head0.068
GPT teacher head0.387
Teacher spread0.319 · 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