P01-315 - Dissociative Memory Impairments and Immigration
Bibliographic record
Abstract
Dissociative memory disturbances characterize dissociative disorders (such as dissociative amnesia, dissociative fugue, dissociative identity disorder, Ganser syndrome) and certain anxiety disorders (post-traumatic stress disorder). Across various cultures, they are recognized to be precipitated by psychological stress. In immigrant populations, stressful experiences arising during migration and acculturation could lead to somatic and psychiatric symptoms (including dissociative ones). A delayed onset of these symptoms - that at times occurs - may reflect a kindling sensitization or an incubation effect. Objectives We review four patients who developed Dissociative Disorders (Dissociative Amnesia and Ganser Syndrome) on a background of stresses related to immigration. Methods Patients were investigated medically, psychiatrically and neuropsychologically and in part neuroradiologically. Results Patients were adult males with Eastern or Central European background and no known previous psychiatric or medical illnesses. They immigrated to Germany or Canada and encountered several difficulties in the process of migration or adaptation to the new country. All developed severe psychiatric dissociative symptoms after objectively minor stresses, which occurred several years after their immigration to the new country of residence. Despite adequate treatment, their symptoms followed a chronic course. The patients’ neuropsychological profiles shared similarities, such as executive functioning deficits (e.g. limited cognitive flexibility) and impairments of emotional processing in addition to severe autobiographical amnesia. Conclusions We propose that stresses related to immigration and acculturation could trigger dissociative memory disorders in immigrants via a dysregulation of the hormonal stress responses, which is mediated by individual characteristics (cognitive flexibility, emotional processing abilities, language competence and cultural affiliations).
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.042 | 0.011 |
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".