MétaCan
Menu
Back to cohort
Record W1972877363 · doi:10.1080/00224499.2011.644598

From Desire to Disease: Human Papillomavirus (HPV) and the Medicalization of Nascent Female Sexuality

2012· article· en· W1972877363 on OpenAlexaffabout
Jessica Polzer, Susan Knabe

Bibliographic record

VenueThe Journal of Sex Research · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsWomen's and Gender Studies et Recherches FéministesWestern University
Fundersnot available
KeywordsMedicalizationHuman sexualityGender studiesIntervention (counseling)Reproductive healthDiseasePublic healthSociologyMedicinePsychologyPopulationPsychiatryNursingDemography

Abstract

fetched live from OpenAlex

This article critically examines the proliferation of information on the human papillomavirus (HPV) vaccination as integral to contemporary processes of medicalization that take the young female body and her nascent sexuality as its primary object and target. We suggest that the recent introduction of voluntary HPV vaccination for girls, in North America and elsewhere, constitutes a form of neomedicalization (Batt & Lippman, 2010 ) that links risks for future disease (cervical cancer) with the transmission of a common, sexually transmitted infection (HPV). Informed by findings from a critical discourse analysis of Canadian English newspapers, magazines, and public information about HPV vaccination, our interest is on how the emergence of sexual relationships becomes constructed as a time fraught with risks to future health, and that must be managed through biotechnological intervention (vaccination). We suggest that this configuration of medicalization, rather than demarcate a new category of abnormality that can be treated with pharmaceutical or medical intervention, positions the emergence of sexuality itself as the basis of risk and pathologization. The article concludes by considering the implications of this form of medicalization for constructions of female sexuality and sexual health education.

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)0.017
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.201
GPT teacher head0.481
Teacher spread0.279 · 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 designQualitative
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

Citations34
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of Sex ResearchSame topicGender, Feminism, and MediaFrench-language works237,207