MétaCan
Menu
Back to cohort
Record W4285891489 · doi:10.1024/1662-9647/a000296

Resident-to-Resident Aggression in Private Seniors’ Residences

2022· article· en· W4285891489 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGeroPsych · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité de Sherbrooke
Fundersnot available
KeywordsAggressionIntervention (counseling)PsychologyNursingGerontologyMedicineSocial psychology

Abstract

fetched live from OpenAlex

Abstract: Resident-to-resident aggression (RRA) is a globally-recognized problem in long-term care centers which is presently understudied among private seniors’ residences (PSRs) for independent and semi-independent older adults. This research documents the manifestations of RRA in PSRs in Québec and identifies the need to develop a program promoting wellness care and countering RRA from the viewpoint of residents who experienced it as well as employees and external intervenors who intervene in such situations. We conducted 25 individual interviews in four PSRs showing that RRA can manifest in diverse forms. The explicit and implicit needs identified refer to prevention and intervention. This research is the first to conceptualize the needs of experienced stakeholders in PSRs to develop a program promoting wellness care and countering RRA.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.345
Teacher spread0.320 · 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