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Record W4242730321 · doi:10.1108/oxan-db245911

Canada post-election drug price changes likely

2019· other· en· W4242730321 on OpenAlexaboutno aff

Bibliographic record

VenueEmerald expert briefings · 2019
Typeother
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsTransparency (behavior)Government (linguistics)ConfidentialityBusinessDrug pricesPublic administrationPublic economicsEconomicsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Subject Pharmacare and drug pricing in Canada. Significance Canada’s federal government announced changes to pharmaceutical drug pricing regulations on August 9, aiming to lower prices and enhance transparency around confidential discounts and rebates offered to public and private buyers by drug firms. The changes show Prime Minister Justin Trudeau’s Liberal government preparing to push to implement recent recommendations for a national, single-payer system of public pharmacare after October’s election. Impacts International pharma firms will reduce their engagement with Canada’s market, launching fewer new drugs and reducing R&D. Canadian pharma firms may expand their offerings of generic drugs. Insurance companies will have to realign their business models to adjust to the emerging system of universal public coverage. If the Conservatives win the election, they are unlikely to continue with these healthcare reforms.

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)0.003
metaresearch head score (Gemma)0.013
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 score0.114
Threshold uncertainty score0.824

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0120.003
Scholarly communication0.0090.002
Open science0.0020.003
Research integrity0.0120.009
Insufficient payload (model declined to judge)0.0580.007

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 head0.009
GPT teacher head0.248
Teacher spread0.239 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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