Relationship Characteristics and Feelings About Pregnancy Among Black and Puerto Rican Young Adults
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
CONTEXT: Unintended pregnancy is common among black and Hispanic young adults in the United States. How pregnancy intentions form and change is poorly understood, although research indicates that intentions and attitudes are dependent on partners' views and other relationship factors, and are different by gender. METHODS: A sample of black and Puerto Rican men and women aged 18-25 from low-income neighborhoods in two cities were surveyed in 2007-2008. Using data on 520 serious and casual sexual relationships reported by 460 respondents, generalized ordered logistic regression analysis was conducted to identify individual- and relationship-level correlates of how respondents would feel if they became involved in a pregnancy with a particular partner. RESULTS: About one-quarter of respondents reported each of four possibilities of how they would feel about a pregnancy with a particular partner-very upset, a little upset, a little pleased and very pleased. In 45% of relationships, respondents believed that their partners would be very pleased about a pregnancy, whereas they themselves would be very pleased in only one-quarter of cases. Overall, women were less likely to feel positive about a pregnancy than were men (odds ratio, 0.3). Respondents' positive feelings about their relationships were associated with a strong tendency toward more positive feelings about a pregnancy (2.1), as was a measure of how positive respondents thought their partners would feel (1.5-2.6). The latter association was particularly strong among women (1.7). CONCLUSIONS: Relationship characteristics were associated with feelings about pregnancy for both genders. Future research should utilize a more comprehensive framework for conceptualizing and examining sexual relationships.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it