MétaCan
Menu
Back to cohort
Record W2756340957 · doi:10.12927/hcpol.2017.25195

The Pharmaceutical Industry and the Canadian Government: Folie à Deux

2017· article· fr· W2756340957 on OpenAlexaffvenueabout
Joel Lexchin

Bibliographic record

VenueHealthcare policy · 2017
Typearticle
Languagefr
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsPharmaceutical industryGovernment (linguistics)ShareholderPublic interestProfit (economics)BusinessPublic administrationPolitical scienceEconomicsLawFinanceMedicinePharmacologyCorporate governance

Abstract

fetched live from OpenAlex

The interest of the pharmaceutical industry is in achieving a profit for its shareholders while the interest of the Canadian government should be in protecting public health. However, over the course of the past few decades the actions of the Canadian government have been tilted in favour of industry in two areas. The first is in the relationship between industry and Health Canada and is manifested in the regulation of clinical trials, the drug approval system, drug safety and promotion. The second is in economic policy as it applies to policies about patent protection, the price of medications and measures taken to incentivize research and development. The problems in the relationship are structural and will only be solved through systemic changes.

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)0.004
metaresearch head score (Gemma)0.011
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: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.921
Threshold uncertainty score0.575

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0180.016
Scholarly communication0.0140.008
Open science0.0020.003
Research integrity0.0140.011
Insufficient payload (model declined to judge)0.0260.003

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 head0.401
GPT teacher head0.575
Teacher spread0.174 · 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

Citations6
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueHealthcare policySame topicPharmaceutical industry and healthcareFrench-language works237,207