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Power and culture in emerging medical technology policymaking: the case of the human papillomavirus (HPV) vaccine in Canada

2017· article· en· W2576310859 on OpenAlexafffundabout
Michelle Wyndham‐West, Mary Wiktorowicz, Peter Tsasis

Bibliographic record

VenueEvidence & Policy · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsYork University
FundersYork University
KeywordsIdeologyHuman papillomavirusSensemakingPower (physics)Human papillomavirus vaccinePolitical sciencePublic healthHofstede's cultural dimensions theoryPublic relationsSociologyMedicinePoliticsSocial scienceGardasilCervical cancerCancerLaw

Abstract

fetched live from OpenAlex

This article captures how scientific uncertainty is negotiated and its implications on public health policy. Through the case study of the Human Papillomavirus vaccine in Canada, we investigated how policymakers engage in ‘sensemaking’, the process whereby policymakers mediate shifting informational terrain to come to an understanding of what events and information mean, how they become significant and how they are acted upon. Key informant interviews reveal that policymakers make decisions amidst uncertainty by invoking public health cultural ideologies and by actively managing interactions with the manufacturer. This reflects a non-linear dispositif that is influenced by the co-production of culture and power.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.048
GPT teacher head0.349
Teacher spread0.300 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations4
Published2017
Admission routes3
Has abstractyes

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