A study of acculturation in psychotic and non-psychotic immigrants living in Athens
Bibliographic record
Abstract
BACKGROUND: Acculturation is the phenomenon that results when a group with one culture comes into continuous contact with a host culture. AIMS: To investigate the correlation between acculturation and psychotic symptomatology in a group of immigrants suffering from psychosis and to explore differences in demographic factors related with the acculturation process between individuals with and without psychosis. METHODS: Sixty-five patients and 317 non-psychotic immigrants were interviewed using the Immigrant Acculturation Scale (IAS) and a structured questionnaire for demographic data. The Positive and Negative Syndrome Scale (PANSS), the Calgary Depression Scale for Schizophrenia (CDSS) and the Global Assessment of Functioning (GAF) were also administered to all immigrants suffering from psychosis. RESULTS: Total IAS scores, as well as IAS everyday life scores, were positively correlated with GAF scores. IAS everyday life score in the patient group related with religion, marital status, gender and years in Greece, while in the non-psychosis group it was related with gender and years in Greece. IAS wishful orientation/nostos (the strong desire for one's homeland) related with religion in both groups. The IAS identity in the psychosis group did not show any significant relation with any of the variables, while in the non-patient group, it was related with marital status, gender and years in Greece. Age, duration of residence in Greece and higher adoption of Greek ethnic identity were the variables that differentiated the two groups of immigrants. CONCLUSION: Acculturation in immigrants suffering from psychosis could be seen as a process that does not correlate strongly with the severity of the symptomatology but is probably influenced by different set of factors.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".