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Record W2530103572 · doi:10.1177/0840470416658907

Universal prescription drug coverage in Canada

2016· review· en· W2530103572 on OpenAlex
Steven G. Morgan, Katherine Boothe

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

VenueHealthcare Management Forum · 2016
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsMcMaster UniversityUniversity of British Columbia
Fundersnot available
KeywordsMedical prescriptionIncentivePoliticsPublic administrationPublic policyPolitical scienceUniversal designBusinessPublic economicsMedicineEconomicsLawComputer scienceNursing

Abstract

fetched live from OpenAlex

Canada's universal public healthcare system is unique among developed countries insofar as it does not include universal coverage of prescription drugs. Universal, public coverage of prescription drugs has been recommended by major national commissions in Canada dating back to the 1960s. It has not, however, been implemented. In this article, we extend research on the failure of early proposals for universal drug coverage in Canada to explain failures of calls for reform over the past 20 years. We describe the confluence of barriers to reform stemming from Canadian policy institutions, ideas held by federal policy-makers, and electoral incentives for necessary reforms. Though universal "pharmacare" is once again on the policy agenda in Canada, arguably at higher levels of policy discourse than ever before, the frequently recommended option of universal, public coverage of prescription drugs remains unlikely to be implemented without political leadership necessary to overcome these policy barriers.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.047
GPT teacher head0.276
Teacher spread0.230 · 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