Bibliographic record
Abstract
The main purpose of the present study is to identify factors that despite, leads to a tendency of married men and women to establish a relationship outside the marital domain; therefore, its results can be used to provide health for the main pillar of society, that is family.This study was conducted in a descriptivecorrelational design with cluster random sampling method and 400 individuals had been selected from the statistical population of married men and women living in Isfahan in 2012.The research instrument was a 62-item questionnaire for assessing the tendency toward betrayal.Data analysis was performed using correlation, multiple regression and Fuzzy inference with the use of SPSS-20 software.With the designed model, you can get the rate of betrayal by giving input for each male and female.The findings of the current study show that according to the correlation coefficients, the relationship between the tendency towards extramarital relationship with the variables (sexual satisfaction, emotional satisfaction, suspicion and sense of revenge, variety-seeking) is meaningful and positive.(P<0.05).Regression results show that 26.7% of the variance in the tendency toward extramarital relationship can be explained with the model.The effect of age, duration of marriage and education variables in interaction with one another on five variables of tendency towards extramarital relationships, that are sexual satisfaction, emotional satisfaction, suspicion and sense of revenge and variety-seeking are significant (P<0.05) and they don't have significant effect individually (P <0.05).In all findings, women's tendencies for betrayal is higher than men.Therefore, with creating a cultural context for raising sexual and emotional satisfaction and reducing variety-seeking and revenge, it is possible to decrease the tendency towards extramarital relationship in married women and men.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.932 | 0.911 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".