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Record W3185801201 · doi:10.47326/ocsat.2021.02.37.1.0

Ontario’s Community-Dwelling Older Adults Who Remain Unvaccinated Against COVID-19

2021· report· en· W3185801201 on OpenAlexaboutno aff
Paula A. Rochon, Kevin A. Brown, Tai Huynh, Rachel Savage, Jennie Johnstone, Pamela Leece, Sudeep S. Gill, Pat Armstrong, Peter Tanuseputro, David M. Kaplan, Rachel Strauss, Wei Wu, Hannah Chung, Peter Jüni, Andrew P. Costa, Nathan M. Stall

Bibliographic record

Venuenot available
Typereport
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsTable (database)MandatePandemicCoronavirus disease 2019 (COVID-19)Public healthHealth careScientific evidencePolitical sciencePublic relationsMedicineNursingInfectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

COVID-19 vaccination rates among community-dwelling Ontarians aged 65 years and older are lowest in neighbourhoods at highest risk of SARS-CoV-2 infection, those that have the highest material deprivation, and those that are most ethnically diverse. Lower rates of vaccination were most pronounced among older adults who had no regular contact with a primary care physician. Between April 26, 2021 and June 7, 2021, Ontarians aged 80 years and older had the lowest increase in first dose vaccination among all eligible older adults in Ontario, suggesting that vaccination rates in this age group may have plateaued. Community-dwelling older adults remain at disproportionately high risk of hospitalization and death due to COVID-19, and efforts should be made to maximize vaccination in this population.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.092
GPT teacher head0.397
Teacher spread0.305 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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