Marital satisfaction across the transition to parenthood.
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
The purpose of the present study was to discriminate between the 2 dominant perspectives governing research on the nature of marital change over the transition to parenthood. Progress can be made in understanding this transition by recognizing the role of uncontrolled sources of variability in research designs, defining and using control groups, and timing of data collection around the child's arrival, and the authors conducted a study incorporating these methodological refinements. Growth curve analyses were conducted on marital satisfaction data collected twice before and twice after the birth of the 1st child and at corresponding points for voluntarily childless couples (N = 156 couples). Spouses who were more satisfied prior to pregnancy had children relatively early in marriage, and parents experienced greater declines in marital satisfaction compared to nonparents. Couples with planned pregnancies had higher prepregnancy satisfaction scores, and planning slowed husbands' (but not wives') postpartum declines. In sum, parenthood hastens marital decline--even among relatively satisfied couples who select themselves into this transition--but planning status and prepregnancy marital satisfaction generally protect marriages from these declines.
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 | 0.001 | 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 | 0.001 | 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