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Record W2074277808 · doi:10.1080/14681811.2014.967389

Satisfaction with previous sexual health education as a predictor of intentions to pursue further sexual health education

2014· article· en· W2074277808 on OpenAlexafffundabout
B. J. Rye, Carling Mashinter, Glenn J. Meaney, Eileen Wood, Savannah Gentile

Bibliographic record

VenueSex Education · 2014
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsWilfrid Laurier UniversityUniversity of WaterlooSt. Jerome's University
FundersWilfrid Laurier University
KeywordsReproductive healthPsychologySexual behaviorHealth educationSex educationSocial psychologyClinical psychologyDemographyMedicineHuman sexualitySociologyGender studiesPublic healthNursing

Abstract

fetched live from OpenAlex

This paper investigates the nature of the relationship between satisfaction with high school sexual health education and the pursuit of a post-secondary human sexuality course. In an initial study, first-year university students who received high school sexual health education in Ontario completed a questionnaire which assessed their satisfaction with sexual health education and asked whether students were pursuing or intended to pursue a human sexuality course in university. Students who were less satisfied with high school sexual health education and, in particular, those who did not rate sexual health education as contributing to their understanding of themselves as sexual beings, were more likely to pursue a university-level course. A second qualitative study investigated potential reasons underlying this correlation. Eleven first-year students enrolled in a human sexuality course were interviewed about (a) their satisfaction with their high school sexual health education and (b) their reasons for taking the course. The findings suggest that dissatisfaction with sexual health education may be a result of students perceiving they had not learned enough personally relevant information and/or received a biased education in high school. These factors, which seem to determine dissatisfaction, may motivate students to pursue additional education in university.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.053
GPT teacher head0.433
Teacher spread0.381 · 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

Citations14
Published2014
Admission routes3
Has abstractyes

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