Bibliographic record
Abstract
OBJECTIVES: This article examines trends in teenage pregnancy in Canada, focussing on induced abortions, live births and fetal loss among women aged 15 to 19 in 1997. DATA SOURCES: The data come from the Hospital Morbidity Data Base and the Canadian Vital Statistics Data Base at Statistics Canada, and the annual Therapeutic Abortion Survey, conducted by the Canadian Institute for Health Information. Data on abortions performed on Canadian residents in the United States are from an annual survey of selected states. International data are from the Alan Guttmacher Institute. ANALYTICAL TECHNIQUES: Pregnancy rates, abortion rates, live birth rates and fetal loss rates are calculated using population counts of women in the age groups 15 to 17, 18 to 19, and 15 to 19. The percentages of pregnancies that ended in the three outcomes are also calculated for these years. MAIN RESULTS: The teenage pregnancy rate declined from 1994 to 1997, reflecting lower teenage birth and fetal loss rates. Through this period the abortion rate remained stable, with the result that slightly more than half of all teenage pregnancies ended in abortion by 1997. Younger teens are more likely to have an abortion than to give birth. The majority of pregnancies among older teens end in a live birth, although the number of live births is decreasing.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.069 | 0.010 |
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".