Youth sexual behaviour in a boomtown: implications for the control of sexually transmitted infections
Bibliographic record
Abstract
BACKGROUND: Northeastern British Columbia, Canada, is undergoing rapid in-migration of young, primarily male, workers in response to the "boom" in the oil/gas industries. Chlamydia rates in the region exceed the provincial average by 32% (294.6 cases per 100 000 persons compared with 213.3). Evidence indicates that sociocultural and structural determinants of young people's sexual health are key to consider in the design of interventions. OBJECTIVES: To investigate how sociocultural and structural features related to the oil/gas boom are perceived to affect the sexual behaviour of youth in a Northeastern "boomtown". METHODS: The study included ethnographic fieldwork (8 weeks) and in-depth interviews with 25 youth (ages 15-25 years) and 14 health/social service providers. RESULTS: Participants identified four main ways in which the sociocultural and structural conditions created by the boom affect sexual behaviours, fuelling the spread of sexually transmitted infections (STIs): mobility of oil/gas workers; binge partying; high levels of disposable income and gendered power dynamics. CONCLUSIONS: The sociocultural and structural conditions that are fostered by a resource-extraction boom appear to exacerbate sexual health inequalities among youths who live and work in these rapidly urbanising, remote locales. To meet the needs of this population, we recommend STI prevention and testing service delivery models that incorporate STI testing outreach to oil/gas workers and condom distribution. Global, national and local STI control efforts should consider the realities and needs of similar subpopulations of young people.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| 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".