Risk Factors and Life Processes Associated with Teenage Pregnancy: Results of a Prospective Study From Birth to 20 Years
Bibliographic record
Abstract
Data gathered over the course of a 20‐year longitudinal study of 533 New Zealand women were used to (a) describe the extent and timing of pregnancies within the cohort up to age 20, and (b) examine the extent to which the risk of an early pregnancy was related to a range of social background, family, individual, and peer relationship factors measured over the course of childhood and adolescence. Results showed that by age 20, nearly a quarter of the sample had been pregnant at least once, with the majority of first pregnancies occurring between the ages of 17 and 20 years. The profile of those at greatest risk of a teenage pregnancy (<20 years) was that of an early‐maturing girl with conduct problems who had been reared in a family environment characterized by parental instability and maternal role models of young single motherhood. As young adolescents, these girls were characterized by high rates of sexual risk‐taking and deviant peer involvement. Exposure to social and individual adversity during both childhood and adolescence made independent contributions to an individual's risk of an early pregnancy. These findings were most consistent with a life course developmental model of the etiology of teenage pregnancy. Implications for teenage pregnancy prevention are discussed.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".