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Record W7037178262

The Development of Sexual Health Educational Canvas Modules for Cal Poly Students

2023· article· en· W7037178262 on OpenAlexaboutno aff

Bibliographic record

VenueDigitalCommons - CalPoly (California State Polytechnic University) · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMediterranean and Iberian flora and fauna
Canadian institutionsnot available
Fundersnot available
KeywordsReproductive healthTabooQuarter (Canadian coin)Sexual intercourseBirth controlHealth educationHuman sexuality
DOInot available

Abstract

fetched live from OpenAlex

Purpose: Sexual health education continues to be a taboo topic underrepresented in young adult health education. Many high school students do not receive the sexual health education they need. One study found that 34% of girls and 42% of boys left high school without education on birth control methods (Wong et al., 2019). Furthermore, students entering college have varying, often inadequate, levels of sexual health knowledge. After examining sexual health data at California Polytechnic State University (Cal Poly), the Cal Poly Sexual and Reproductive Health (SRH) Lab found that students engage in risky sexual behaviors. For example, nearly one quarter (22.9%) of cisgender female students reported using the pull-out method as their only form of contraception the last time they had vaginal intercourse (ACHA-NCHAIII, 2021). Additionally, 42.4% of students reported using a barrier method during anal sex (ACHA-NCHAIII, 2021). These statistics are concerning as Cal Poly students believe the pull-out method is effective for birth control. Further, there is a lack of knowledge regarding the increased risks associated with unprotected anal sex. While on-campus peer health education programs have attempted to fill these gaps, no specific sexual health training is required for all students. Methods: Through the conduction of a literature review, analysis of past SRH lab & ACHA data, assessment of students' and campus partners' knowledge and needs regarding sexual health education, and a review of California State University sexual health education offerings, apparent gaps in student knowledge were identified which revealed the need for learning modules with a sexual health educational focus. Results: The Cal Poly SRH Lab developed a set of comprehensive sexual health education learning modules. Ten modules focus on healthy sexual relationships, barrier methods, contraception, pregnancy options, STIs, testing, and access to resources. Reading material, specialized graphics and educational videos were compiled. Interactive modules were produced using the Canvas course management platform students currently use for their academic courses. Conclusion: After this resource was launched June 2023, all students now have access to reliable sexual health information in one place with complete anonymity whenever they have a question. Overall, it is predicted that the number of students regularly using a barrier method during sex will increase, STI testing rates will improve, and open conversations surrounding sexual health will become more normalized on campus. References: American College Health Association (2021). National College Health Assessment III Fall 2021 Reference Group Data Report. https://www.acha.org/documents/ncha/NCHAIII_FALL_2021_REFERENCE_GROUP_ DATA_REPORT.pdf Wong T, Pharr JR, Bungum T, Coughenour C, Lough NL. Effects of Peer Sexual Health Education on College Campuses: A Systematic Review. Health Promotion Practice. 2019;20(5):652-666. doi:10.1177/1524839918794632

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0610.014

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 head0.040
GPT teacher head0.255
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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