Teenage pregnancy in Nova Scotia communities: associations with contextual factors.
Bibliographic record
Abstract
This study used data from the Nova Scotia Department of Health (1995-2000) to better assess the distribution of teenage pregnancy in Nova Scotia communities and to identify community contextual factors associated with teenage pregnancy. Pregnancy events for those aged 15 to 19 were counted and population size in Nova Scotia communities was estimated. The cumulative probability of pregnancy (CPP) among 15- to 19-year-olds was calculated for each of one hundred and one separate communities. Enumeration area centroids were overlain on community boundaries and linked to community level data from the 1996 Canadian Census. CPP ranged from 0.01 to 0.39 indicating that some communities do well with respect to this health outcome while others do not. Factors negatively associated with CPP were increasing level of education in communities and proportions of those indicating a religious faith. Positive associations were seen with increased proportions of single parent families proportion of population native or black and the rate of female participation in the work place. Seventy-three per cent of the variance in CPP was explained by these factors. Socio-economic factors and the social support community norms and influence of parental control which religious affiliation and family structure may represent are important areas to pursue further to understand why these community differences occur. (authors)
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".