Child's Emotional Well-being and Parental Marriage Stability in Croatia
Bibliographic record
Abstract
The research was performed in Croatia, a country differing in social value system from the USA and Western European countries, to test how parental marriage stability affects a childs emotional reactions or the childs well-being. Seven hundred and seventy couples and their children were included in the study. Couples were divided into 3 groups, based on the stability of their marriage: intact (N = 234), impaired or distressed (N = 266) and divorced (N = 261). Altogether 1163 children were included in the study. Dependent variables representing childs emotional wellbeing were: mood instability and frequency of depressive symptoms. Using MANCOVA and ANCOVA statistical procedures and controlling for mothers and fathers age and education and the childs age, results were obtained according to which children coming from intact families showed the highest emotional well-being. There was a significant difference in the variables representing the childs emotional well-being between children coming from intact families and those coming from impaired/distressed and divorced families, and no difference was found in emotional well-being between children coming from impaired/distressed and divorced families. Also, no significant interactions were obtained between the variables marital stability and the childs gender or the childs birth order.
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 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".