MétaCan
Menu
← Back to cohort
Record W2343070393

Profit Knows No Borders, Selling Gardasil to the Rest of the World: (The Politics and PR of Cervical Cancer: Part Four)

2007· article· en· W2343070393 on OpenAlexaboutno aff
Judith Siers-Poisson

Bibliographic record

VenueThe New Doctor · 2007
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
Fundersnot available
KeywordsGardasilGeneral partnershipPoliticsProject commissioningCervical cancerProfit (economics)Public administrationState (computer science)Political scienceBusinessPublic relationsPublishingAdvertisingEconomicsFinanceLawMedicineCancer
DOInot available

Abstract

fetched live from OpenAlex

The marketing tactics adopted by Merck for its cervical cancer vaccine, Gardasil, in Canada, Australia and New Zealand which includes using its successful non-profit partnership model to push for mandates of the HPV vaccine at the state level, Women in Government, an industry-funded network of women state legislators which proved a willing and able channel to influence policymakers across the country is discussed. It is stated that by over hyping its potential, Merck is contributing to a dangerous misconception and creating the risk that women will feel it is less important to have regular Pap screenings.

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)0.001
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.003
Scholarly communication0.0040.003
Open science0.0000.001
Research integrity0.0070.003
Insufficient payload (model declined to judge)0.0200.004

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 head0.043
GPT teacher head0.373
Teacher spread0.330 · 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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueThe New Doctor→Same topicCervical Cancer and HPV Research→French-language works237,207→