The Role of Family Typology on Mental Health, Positive and Negative Emotions, Self-esteem, and Wife Physical Abuse in an Iranian Sample
Bibliographic record
Abstract
The purpose of this study was to examine the roles of the cohesive, enmeshed and disengaged families on the mental health, positive and negative emotions, self-esteem and wife abuse in married couples, to investigate relationships between these constructs, and to explore the effects of gender and the level of education on aforesaid variables. Participants included 100 couples that randomly selected from Shiraz city, Iran. A demographic questionnaire and four selfrating measures were used in this study. Resulting data indicated that cohesive families had a significantly lower psychopathology, negative emotions and the wi fc physical abuse and a higher positive emotions and self-esteem than both enmeshed and disengaged families. Psychopathology factors were positively correlated to negative emotions and wife physical abuse, and they had significantly negative relationships with positive emotions and self-esteem. Results were confirmed the effects of family typology on the mental health. Negative emotions and self-esteem were predicted the wife physical abuse in this sample.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".