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Record W2766130104 · doi:10.3138/cjhs.2017-0006

Emerging adults' experiences of middle and high school sexual health education in New Brunswick, Nova Scotia, and Ontario

2017· article· en· W2766130104 on OpenAlexaffvenueabout
E. Sandra Byers, Lisa Dawn Hamilton, Bonnie Fisher

Bibliographic record

VenueThe Canadian Journal of Human Sexuality · 2017
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsMount Allison UniversityUniversity of New Brunswick
Fundersnot available
KeywordsNova scotiaQuarter (Canadian coin)DemographyPsychologyReproductive healthPerceptionMedicineGerontologyPopulationGeographySociology

Abstract

fetched live from OpenAlex

The current study examined the perception of sexual health education (SHE) being provided in middle and high schools in three Canadian provinces from a sample of young adults. Participants were 296 undergraduate students (91 men, 205 women) between the ages of 18 and 24 who had gone to both middle school and high school in New Brunswick, Nova Scotia, or Ontario. There were few differences between provinces. Almost all participants reported receiving SHE in middle school but about a quarter had not received SHE in high school. On average, participants rated the SHE they had received in middle school as fair and in high school as good. Participants, on average, rated most of 21 specified sexual health topics as covered poorly and covered. The men tended to rate the SHE they had received in middle school more positively than did the women. Participants reported that teachers used a variety of methods in the classroom, 6.78 of 9 possible methods on average. Multiple regression analyses showed that higher perceived quality of SHE was associated with better topic coverage, the extent to which the topics covered matched their interests, and the number of different methods used. Participants reported that peers were a more important source of sexual health information than was SHE. The results point to a continued need to improve the quality of SHE provided in Canadian schools.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.126
GPT teacher head0.425
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations30
Published2017
Admission routes3
Has abstractyes

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