Family Histories and Teen Pregnancy in the United States and Canada
Bibliographic record
Abstract
OBJECTIVE: This study took a long view of childhood experiences that can contribute to the risk of teen pregnancy in the U.S. and Canada, two countries with different norms and policies surrounding family life and inequality. BACKGROUND: Teenage pregnancy is a major life experience arising from life course trajectories unfolding over a young woman's childhood. Cross-national comparisons can elucidate family-based pathways while embedding youth within broader national contexts of the U.S. and Canada, which are similar in some respects yet different in others. METHOD: = 2,517) connected childhood histories to teenage pregnancy. Competing risk models estimated the risk of teenage pregnancy with family structure changes and episodes in poverty during childhood. RESULTS: Teenage pregnancy, family change, and poverty were more common in the U.S. In the U.S., only multiple experiences of instability and poverty were associated with greater risk of teenage pregnancy, but, in Canada, any experience of childhood disadvantage was associated with elevated risk. CONCLUSION: The risk of teen pregnancy was higher among both U.S. and Canadian adolescents from more unstable and economically insecure families, and that link between cumulative experiences of childhood disadvantage and adolescent pregnancy was stronger in Canada. IMPLICATIONS: Policies and interventions to reduce teen pregnancy must address childhood socioeconomic disadvantage.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".