نقش میانجی ناگویی هیجانی و اضطراب ناشی از کرونا در ارتباط بین تابآوری با تعارضات زناشویی
Bibliographic record
Abstract
The prevalence of coronavirus and its subsequent quarantine, had social, economic, and psychological consequences. This study aimed to the mediation role of alexithymia and corona anxiety in the relationship between resilience and marital conflicts during quarantine. The design of the study is correlation through path analysis modeling. Among all student couples of Imam Khomeini International University in Qazvin in 2020, a sample of 100 volunteered couples were selected. Data were collected using Marital Satisfaction Questionnaire (Sanaei-Zakir), Toronto Alexithymia Questionnaire, Corona Anxiety Scale (Alipour, et al.) and Connor and Davidson Resilience Questionnaire and analyzed using structural equation model. Findings showed that alexithymia and corona anxiety play a mediator role between marital conflicts and resilience. Therefore, it can be concluded that by promoting resilience, the ability to deal with anxiety and emotion regulation increases, and consequently, problems such as marital conflicts decrease. The suggestion from these findings, should be to use the resilience promotion programs to deal with anxiety and related problems.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.054 | 0.015 |
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".