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
UNLABELLED: The purpose of this study was to investigate determinants of the activity patterns of women prior to pregnancy and factors associated with quitting activities during pregnancy. METHODS: These data arose from a study designed to look at the impact of exercise in pregnancy on birth weight (Campbell and Mottola, 2001). This secondary analysis explored relationships between subject characteristics and exercise patterns via a self-completed questionnaire. Univariable and multivariable odds ratios were estimated using logistic regression. Multivariable models used backward stepwise variable selection. RESULTS: A total of 853 women agreed to participate and 529 women (62%) returned completed questionnaires. Of these, 369 (70%) and 258 (49%) engaged in a structured exercise program before pregnancy and in Trimester 3, respectively. Factors associated with engaging in regular structured exercise prior to pregnancy included: postsecondary education (OR = 1.50; 0.98, 2.30), no children (OR = 2.44; 1.56, 3.82), nonsmoker (OR = 1.84; 1.18, 2.88), and involvement in regular recreational activities (OR = 3.07; 1.81, 5.20). During pregnancy, all categories of activity decreased except walking, which increased by Trimester 3. Factors associated with quitting a regular structured exercise program by Trimester 3 were: having children (OR = 1.67; 1.05, 2.67), a prepregnancy BMI of 25 (OR = 1.79; 1.04, 3.13), and higher weight gain. IMPLICATIONS: Community programs that encourage active living should address these factors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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