An Assessment of Young Adults’ Awareness and Knowledge Related to the Human Papillomavirus (HPV), Oropharyngeal Cancer, and the HPV Vaccine
Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: The human papillomavirus (HPV) is a prevalent sexually transmitted infection that is a known cause of morbidities such as genital warts and cancers of the cervix, anus, and oropharynx. Non-cervical HPV-related cancers have been a developing problem in North America, increasing in incidence by up to 225% in some instances over a span of two decades. METHODS: = 1005) aged 18-30 completed a 42-item questionnaire that included demographic information, awareness questions, and a series of "true/false/I don't know" knowledge questions. RESULTS: The data gathered revealed that participants had relatively high levels of awareness. However, many respondents had significant gaps in their knowledge of HPV, OPC, and the HPV vaccine. Collectively, the data indicate that awareness and knowledge of HPV and the value of vaccination may place younger individuals at risk for HPV-related infections. CONCLUSIONS: Although a relatively high level of awareness concerning HPV was observed, the gaps in knowledge suggest that further efforts are necessary to educate young adults. While all risk factors cannot be reduced, the present data may guide future efforts directed toward better education on HPV and related health concerns and associated risks.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".