HPV knowledge and self-sampling for the detection of HPV-DNA among Inuit women in Nunavik, Quebec
Bibliographic record
Abstract
The prevalence of human papillomavirus (HPV), a necessary cause of cervical cancer has been found to be high in Inuit populations. This study examined 1) the level of knowledge about HPV infection and its relation to cervical cancer and 2) the comparability of self-collected cervicovaginal samples to provider-collected cervical samples for the detection of HPV and to assess preference of sampling methods among Inuit women in Nunavik, Quebec. Questionnaires were used to measure HPV knowledge and sampling method preference. To assess comparability of sampling techniques, samples were tested for 36 HPV types with PCR. Previous awareness of HPV was reported by 31% of women. The level of knowledge about HPV was low, but similar to that of other non-Indigenous populations. The agreement in detection of high-risk HPV between paired observations was found to be high. Self-sampling is comparable to provider-sampling and is a promising intervention to increase coverage of cervical cancer screening.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".