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Record W7047269787

Exploring uptake of HIV/STI knowledge and safer sex-efficacy in an arts-based sexual health workshop among Northern and Indigenous adolescents in the Northwest Territories

2022· other· en· W7047269787 on OpenAlexaboutno aff

Bibliographic record

VenueUNU Collections (United Nations University) · 2022
Typeother
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsCircumstantial evidencePopulationNucleofectionProteogenomicsParaphernaliaArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

Limited research has evaluated sexual health promotion projects with adolescents living in Arctic regions. The study objective was to examine changes in STI knowledge and safer sex efficacy among youth in the Northwest Territories (NWT), Canada who participated in arts-based sexual health workshops. We used a pre/post-test design with a convenience sample of students aged 13–18 years recruited from 17 NWT communities. We conducted summary statistics and comparisons between pre and post-test scores using paired t-tests. Among participants (n = 610), we found statistically significant increases in STI knowledge overall (mean difference = 3.9; p < 0.001) and across gender and age stratifications. There were statistically significant increases in safer sex efficacy overall (mean difference = 0.9, p < 0.001), across genders, and among participants: aged <15 years, in rural communities, reporting food insecurity, reporting dating violence, and Indigenous youth. No statistically significant differences in safer sex efficacy were observed among participants who were aged ≥15, sexually active, reporting consistent condom use, and using drugs/alcohol. Findings signal the promise of youth-targeted, arts-based sexual health workshops for improving STI knowledge and safer sex efficacy among adolescents in the NWT. Further research can explore how safer sex efficacy may be shaped by age, substance use, and sexual experience to inform tailored interventions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesBibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.932
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0670.048
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 head0.054
GPT teacher head0.264
Teacher spread0.211 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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