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Record W3180560229 · doi:10.31389/jltc.85

Relationship between the Ownership Status of Nursing Homes and Their Outcomes During the COVID-19 Pandemic: A Rapid Literature Review

2021· article· en· W3180560229 on OpenAlexaff
Florien Margareth Kruse, Jasmine Mah, Sanne J J P M Metsemakers, Melissa K. Andrew, Samir K. Sinha, Patrick Jeurissen

Bibliographic record

VenueJournal of Long-Term Care · 2021
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsToronto Metropolitan UniversityDalhousie University
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Context (archaeology)Quality (philosophy)Economic shortagePsychologyGrey literatureNursingMedicineBusinessMEDLINEPolitical scienceGeographyDiseaseGovernment (linguistics)

Abstract

fetched live from OpenAlex

The Journal of Long-Term Care is an international, multi- and inter-disciplinary, peer-reviewed, online journal established as a focus for advancing the research evidence base for all aspects of long-term care for adults. Its range includes empirical papers and theoretical discussions relevant to policy and practice, methodological papers about improving methods in social care research, and perspectives papers commenting on significant issues for the sector. The editorial board welcomes submissions of high quality, original articles that fit with the Journal’s remit. We will consider articles that are also relevant to the care of children and younger people where there is clear relevance for adult care (e.g. concerning issues of families or transitions into adult care).There is no fee for submitting or publishing articles. All articles are published online as open access on the journal’s website to encourage maximum impact for all work.

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)0.019
metaresearch head score (Gemma)0.072
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.072
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0120.014
Science and technology studies0.0010.001
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0020.003
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 head0.121
GPT teacher head0.437
Teacher spread0.316 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations19
Published2021
Admission routes1
Has abstractyes

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