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Record W3164729153 · doi:10.5770/cgj.24.488

Social Connection is Essential in Long-Term Care Homes: Considerations During COVID-19 and Beyond

2021· article· en· W3164729153 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Geriatrics Journal · 2021
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsResearch Institute for AgingUniversity of AlbertaUniversity of WaterlooToronto Rehabilitation InstituteUniversity of TorontoUniversity Health Network
FundersFaculty of Nursing, University of AlbertaUniversity of AlbertaAlzheimer Society Research ProgramAlzheimer Society
KeywordsCoronavirus disease 2019 (COVID-19)MedicineDementiaLong-term care2019-20 coronavirus outbreakGerontologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Quality of life (healthcare)Term (time)Nursing homesTask (project management)NursingDiseaseVirology

Abstract

fetched live from OpenAlex

COVID-19 has had a profound impact on long-term care (LTC) homes in Canada. But the measures put in place to control infection within LTC homes have also had devastating impacts on the health and well-being of residents through the effects on social connection. Here, we offer guiding principles to enable social connection and promote health and quality of life for LTC residents during COVID-19 and beyond. These principles were generated by a working group of the COVID-19 and Dementia Task Force, convened by the Alzheimer Society of Canada to identify the urgent and emerging issues raised by COVID-19 for Canadians with dementia.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.360
Teacher spread0.330 · 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