Kalıcı komplike yas bozukluğu tanılı hastalarda aleksitimi, psikolojik dayanıklılık ve psikiyatrik belirtilerin incelenmesi
Bibliographic record
Abstract
Background: The aim of this study is to examine alexithymia, psychological resilience, and sychiatric symptoms in patients with persistent complex bereavement disorder. Materials and Methods: A total of 62 participants were included in the study, 31 subjects diagnosed with PCBD and 31 healthy controls. Participants were administered the socio-demographic data form, Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI), Resilience Scale for Adults (RSA), Toronto Alexithymia Scale (TAS-20). Results: BAI (p<0.001), BDI (p<0.001), and TAS-20 (p<0.001) scale scores were found to be significantly higher in the patient group than in the control group. All sub-dimensions of the RSA scale total score were found to be significantly lower between both groups (p <0.001). The anxiety, depression, and lexithymia levels of the patients diagnosed with persistent complex bereavement disorder were significantly higher than the control group; psychological resilience levels were found to be significantly lower. Conclusions: We believe that identifying this situation will shape the psychosocial support to be given to individuals in the pathological mourning process.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".