MétaCan
Menu
Back to cohort
Record W2951032344 · doi:10.22374/ijmsch.v2i1.18

Jabs for the Boys

2019· article· en· W2951032344 on OpenAlexvenueno aff
Peter Baker, Gillian Prue, Jamie Rae, David Winterflood, Giampiero Favato

Bibliographic record

VenueInternational Journal of Men s Social and Community Health · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsnot available
Fundersnot available
KeywordsVaccinationGovernment (linguistics)Political scienceEquity (law)Human papillomavirusPoliticsPublic healthFamily medicineMedicinePublic relationsPublic administrationLawImmunologyNursing

Abstract

fetched live from OpenAlex

The human papillomavirus (HPV) can cause a range of cancers as well as genital warts and recurrent respiratory papillomatosis in men and women. Most cases can be prevented by vaccination in adolescence. Many countries vaccinate girls and an increasing number, although still a minority, vaccinate both boys and girls. The case for vaccinating boys is based on arguments of public health, equity, ethics, and cost-effectiveness. The selective vaccination of females does not protect males sufficiently and provides no protection at all for men who have sex with men. In the United Kingdom (UK), the government’s vaccination advisory committee (Joint Committee on Vaccination and Immunisation [JCVI]) began to consider whether boys should be vaccinated as well as girls in 2013 and made clear in draft statements that it considered this not to be cost-effective. A campaign group, HPV Action, was established to advocate gender-neutral vaccination. This group became a coalition of over 50 organisations and used evidence-based arguments, political advocacy and media campaigning to make its case. One of its members initiated legal action against the government on the grounds of sex discrimination. In July 2018, the government agreed that boys in the UK should be vaccinated. The lessons for other campaigns in the men’s and public health fields include: be prepared for the long haul, focus on clear and specific goals, build alliances, align the objectives with existing policies, make a financial case for a change of policy, and use all legitimate means to exert pressure.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score0.848

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.000
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 head0.063
GPT teacher head0.406
Teacher spread0.343 · 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 designNot applicable
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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Men s Social and Community HealthSame topicVaccine Coverage and HesitancyFrench-language works237,207