Ill‐Informed Consent? A Content Analysis of Physical Risk Disclosure in School‐Based <scp>HPV</scp> Vaccine Programs
Bibliographic record
Abstract
Abstract Objectives This study examines the accuracy, completeness, and consistency of human papilloma virus ( HPV ) vaccine related physical risks disclosed in documents available to parents, legal guardians, and girls in Canadian jurisdictions with school‐based HPV vaccine programs. Design and Sample We conducted an online search for program related HPV vaccine risk/benefit documents for all 13 Canadian jurisdictions between July 2008 and May 2009 including follow‐up by e‐mail and telephone requests for relevant documents from the respective Ministries or Departments of Health. The physical risks listed in the documents were compared across jurisdictions and against documents prepared by the vaccine manufacturer (Merck Frosst Canada), the National Advisory Committee on Immunization ( NACI ), the Society of Obstetricians and Gynecologists of Canada ( SOGC ), and a 2007 article in Maclean's Magazine. Results No jurisdiction provided the same list of vaccine related physical risks as any other jurisdiction. Major discrepancies were identified. Conclusions Inaccurate, incomplete, and inconsistent information can threaten the validity of consent/authorization and potentially undermine trust in the vaccine program and the vaccine itself. Efforts are needed to improve the quality, clarity, and standardization of the content of written documents used in school‐based HPV vaccine programs across Canada.
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How this classification was reachedexpand
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".