Shedding light on attitudes towards pregnancy among Inuit adolescents from Nunavik
Bibliographic record
Abstract
Better understanding attitudes toward pregnancy – a potent predictor of adolescent pregnancy – could help explain the high adolescent pregnancy rate in Nunavik, Canada. The objective of this study was to assess the distribution of different attitudes toward pregnancy and the factors associated with high pregnancy likelihood attitudes (HPLA; favourable, indifferent, and ambivalent), focusing on the perceived benefits of childbearing (BOC). T-tests, chi-square tests, and logistics regressions were performed based the answers of 159 Inuit women aged 16 to 20 years from the Qanuilirpitaa? survey. About 43% were ambivalent, 16% favourable, 5% indifferent, and 35% unfavourable toward pregnancy. Bivariate analysis indicate that the HPLA group was more likely to work, to report less frequent positive interactions, and to show a higher BOC score compared to others. Multivariate analysis show that an increased BOC score was associated with HPLA (OR = 1.09, 95% CI = 1.01 − 1.18). Perceiving that a baby would strengthen the relationship with the other parent (OR = 1.65, 95% CI = 1.15 − 2.37) and that it would help to access housing were individually associated with HPLA (OR = 1.45, 95% CI = 1.02 − 2.10). Findings provide evidence to support Inuit adolescents’ reproductive choices.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".