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Record W4383711388 · doi:10.1177/08404704231183863

Canada’s primary care crisis: Federal government response

2023· article· en· W4383711388 on OpenAlexaffabout
Colleen M. Flood, Bryan Thomas, Ella McGibbon

Bibliographic record

VenueHealthcare Management Forum · 2023
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsUniversity of OttawaQueen's University
Fundersnot available
KeywordsGovernment (linguistics)IncentivePrimary careCommissionBurnoutHealth careBusinessMedicineNursingFamily medicinePolitical scienceLawFinanceEconomics

Abstract

fetched live from OpenAlex

Primary healthcare in Canada is in crisis. One in six Canadians lack a regular family physician and less than half of Canadians are able to see a primary care provider on the same or next day. The consequences are significant in terms of the stress and anxiety foisted upon Canadians in need of care, including limited diagnoses and referrals for potentially life-threatening conditions. This article explores options for the federal government to take a more hands-on role responding to the present crisis that are constitutionally compliant: investments in virtual care; additional funding for primary care tied to a strengthened condition of reasonable access within the Canada Health Act; a federally-funded direct incentive scheme to lure back providers who have left due to burnout; and the establishment of a commission for access and quality in primary 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)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.851
Threshold uncertainty score0.987

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0270.007
Scholarly communication0.0080.002
Open science0.0030.007
Research integrity0.0120.011
Insufficient payload (model declined to judge)0.0080.000

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 head0.032
GPT teacher head0.372
Teacher spread0.340 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations78
Published2023
Admission routes2
Has abstractyes

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