Intergenerational transmission and transition to fatherhood: A mediated-moderation model of paternal engagement.
Bibliographic record
Abstract
The aim of this longitudinal study on determinants of parenting was to test a mediated-moderation model of fathers' postnatal engagement with their children in the context of the transition to fatherhood. More precisely, the model postulated that men's marital status (marriage vs. cohabitation) moderated the relation between one characteristic of the family of origin, maternal physical affection, and their level of postnatal engagement and that this interaction effect was mediated by men's involvement during pregnancy. A sample of 158 Canadian men participated in the study during the third trimester of pregnancy and at 6 months postpartum. As expected, results revealed that cohabiting fathers, as compared to married fathers, showed lower levels of postnatal engagement with their newborns when they had received less physical affection from their mothers during their childhood and adolescence. This result was explained by the fact that these men were less involved as future fathers during their partner's pregnancy. Results are discussed in terms of multiplicative effects of risk factors and in terms of intergenerational continuity in parenting.
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.
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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".