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Record W3087984365 · doi:10.1177/2150132720962871

The Role of Primary Care in a Pandemic: Reflections During the COVID-19 Pandemic in Canada

2020· article· en· W3087984365 on OpenAlex
Joanne Kearon, Cathy Risdon

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

VenueJournal of Primary Care & Community Health · 2020
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPandemicMedicinePrimary careCoronavirus disease 2019 (COVID-19)Influenza pandemicScope (computer science)Surge CapacityPublic healthHealth careFamily medicine2019-20 coronavirus outbreakMedical emergencyNursingVirologyInfectious disease (medical specialty)DiseasePolitical scienceOutbreak

Abstract

fetched live from OpenAlex

As COVID-19 cases began to rise in Ontario, Canada, in March 2020, increasing surge capacity in hospitals and intensive care units became a large focus of preparations. As part of these preparations, primary care physicians were ready to be redeployed to the hospitals. However, due to the effective implementation of community-wide public health measures, the hospital system was not overwhelmed. As Ontario prepares now for a potential second wave of COVID-19, primary care physicians have an opportunity to consider the full breadth and depth of scope for primary care during a pandemic. From planning to surveillance to vaccination, primary care physicians are positioned to play a unique and vital role in a pandemic. Nevertheless, there are specific barriers that will need to be overcome.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.007
Insufficient payload (model declined to judge)0.0000.000

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 head0.110
GPT teacher head0.424
Teacher spread0.314 · 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