The feminization of HPV: How science, politics, economics and gender norms shaped U.S. HPV vaccine implementation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Human papillomavirus (HPV) can cause a number of anogenital cancers (i.e., cervical, penile, anal, vaginal, vulvar) and genital warts. A decade ago, the HPV vaccine was approved, and has been shown to be a public health achievement that can reduce the morbidity and mortality for HPV-associated diseases. Yet, the mistaken over-identification of HPV as a female-specific disease has resulted in the feminization of HPV and HPV vaccines. In this critical review, we trace the evolution of the intersection of science, politics, economics and gender norms during the original HPV vaccine approval, marketing era, and implementation. Given the focus on cervical cancer screening, women were identified as bearing the burden of HPV infection and its related illnesses, and the group responsible for prevention. We also describe the consequences of the feminization of HPV, which has resulted primarily in reduced protection from HPV-related illnesses for males. We propose a multilevel approach to normalizing HPV vaccines as an important aspect of overall health for both genders. This process must engage multiple stakeholders, including providers, parents, patients, professional organizations, public health agencies, policymakers, researchers, and community-based organizations.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it