Coming of age: how young women in the Northwest Territories understand the barriers and facilitators to positive, empowered, and safer sexual health
Bibliographic record
Abstract
OBJECTIVES: Compared to other young Canadians, youth in the Northwest Territories (NWT) suffer disproportionately from negative sexual health outcomes, including high rates of sexually transmitted infections and unintended pregnancies. This study aimed to identify the self-perceived barriers and facilitators to positive, empowered, and safer sexual health that impact female youth in the NWT. STUDY DESIGN AND METHODS: A total of 12 females aged 15-19 who live in the NWT were recruited through purposive sampling to participate in semi-structured, face-to-face interviews. Inductive coding and thematic analysis of transcribed data occurred using Atlas.ti. RESULTS: Overall 4 main themes influenced the sexual health of these women: sexual health knowledge, relationships with the self and others, access to quality sexual health resources, and alcohol use/abuse. CONCLUSION: Recommendations for future action include improving the content and delivery of sexual health education, enhancing parent-adolescent sexual health communication, providing workshops to empower young women to assert themselves within relationships, and supporting an environment that normalizes youth sexuality.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".