MétaCan
Menu
Back to cohort
Record W3209051692 · doi:10.1177/08404704211044152

Visit restrictions highlight crucial role of family members in long-term care: The British Columbia experience

2021· article· en· W3209051692 on OpenAlexaffabout
Isobel Mackenzie

Bibliographic record

VenueHealthcare Management Forum · 2021
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsCarbon Engineering (Canada)
Fundersnot available
KeywordsStaffingLong-term carePandemicPerspective (graphical)NursingTerm (time)Coronavirus disease 2019 (COVID-19)Health carePublic relationsPublic healthMedicinePsychologyGerontologyPolitical science

Abstract

fetched live from OpenAlex

The COVID-19 pandemic has created much-needed attention on long-term care in Canada. Public exposure of life in long-term care has generated tremendous public support for improvements that to a large extent focus on staffing and ageing infrastructure. However, the impact of visit restrictions on long-term care residents during the pandemic highlights the need for changes to how long-term care has traditionally viewed the role and value of family members. The Office of the Seniors Advocate of British Columbia published a report Staying Apart to Stay Safe that highlighted the impact of visit restrictions from the perspective of over 13,000 residents and family members directly affected. The results provide compelling evidence of the need for health leaders to re-evaluate current practice and embrace a more holistic role for family members of residents in long-term care.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.224

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0260.006
Scholarly communication0.0050.002
Open science0.0020.006
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0060.000

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 head0.344
Teacher spread0.324 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations9
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueHealthcare Management ForumSame topicGeriatric Care and Nursing HomesFrench-language works237,207