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Record W2415521074 · doi:10.1177/1715163515611144

Canadian “minor ailments” programs

2015· article· en· W2415521074 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2015
Typearticle
Languageen
FieldHealth Professions
TopicMedical Research and Practices
Canadian institutionsOntario Tobacco Research UnitWomen's College HospitalUniversity of Toronto
Fundersnot available
KeywordsMinor (academic)PharmacistScope (computer science)Scope of practiceLegislatureMedicineAmbulatoryNova scotiaFamily medicineHealth authorityPolitical scienceNursingPublic administrationPharmacyHealth careGeographyLawArchaeology

Abstract

fetched live from OpenAlex

Six Canadian provinces allow pharmacists to prescribe for ambulatory conditions (also sometimes referred to as “minor ailments”; see below). In 2007, Alberta became the first province to lay the legislative groundwork for a pharmacist-led ambulatory condition program (PACP) through its “Additional Prescribing Authority.”1,2 In 2011, Nova Scotia and Saskatchewan introduced their PACPs. In 2014, Manitoba, New Brunswick and Prince Edward Island followed suit.2–4 Most recently, British Columbia and Newfoundland have submitted proposals for PACPs.5,6 In Ontario, despite advocacy efforts by the Ontario Pharmacists Association (OPA) and support from the Ontario College of Pharmacists (OCP), prescribing for ambulatory conditions was not part of the 2012 scope of practice changes.3,7 The Health Professions Regulatory Advisory Council (HPRAC), responsible for the scope of practice changes, reported that pharmacists had the necessary training, but suggested a working group be formed to discuss possible frameworks.7 To date, this group has not been convened. This commentary highlights 5 controversies regarding Canadian pharmacist-led ambulatory conditions programs, all of which are important considerations for other jurisdictions moving forward with such programs.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.270
GPT teacher head0.457
Teacher spread0.187 · 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