An Adolescent Perspective on Sexual Health Education at School and at Home: I. High School Students
Bibliographic record
Abstract
In this study we assessed high school students attitudes toward and experiences with sexual health education (SHE) at school and at home. The participants were 1663 youths enrolled in Grades 9-12 in New Brunswick. Almost all students were in favour of SHE at school (92%). The majority (77%) also agreed that schools and parents should share responsibility for SHE although girls and Grade 12 students were more positive about parents and schools sharing this responsibility than boys and students in Grades 9 10 and 11. Most students thought that SHE should start in middle school and that each of 27 sexual health topics should be covered in middle school or before. About one half of students rated the quality of the school-based SHE they had received as fair or poor. They highlighted a need for more factual information as well as practical skills related to a wide range of sexual health topics. Over one half of students were positive about their most recent sexual health teacher and about two thirds rated the SHE they had received at home as good or better. Gender and grade level analyses indicated that overall these results apply to girls and boys and to students across the high school years. (authors)
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".