The relationship of dissociative experience, alexithymia, and non-suicidal self-harming behavior
Bibliographic record
Abstract
Introduction: Nonsuicidal self-injury (NSSI) is the deliberate injury to body tissue without any suicidal intent, which is culturally or socially unacceptable. It includes a range of behavior such as cutting or scratching of the skin, self-battery, and self-poisoning. Objective: The objective of the study is to find out relationships between NSSI, specific psychological traits (such as alexithymia and dissociation), and sociodemographic factors. Materials and Methods: The study was conducted at the Department of Psychiatry, LAMGMC and associated hospital Raigarh Chhattisgarh and involved patients reported in the department of psychiatry both as outpatient and inpatient, with a history of self-harming behavior (between 18 and 60 years of age) (N = 500). The study was done by the use of Inventory of Statements about Self-Injury (ISAS), Dissociative Experience Scale (DES), and Toronto Alexithymia Scale (TAS). Results: The majority of the subjects with NSSI are adult, female, and unemployed. NSSI is associated with dissociative symptoms, alexithymia, anxiety, depression, substance abuse, tension-type headache, and type B personality. Conclusion: Dissociative symptoms and alexithymia are highly correlated with NSSI.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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".