Attributional style of Egyptians with schizophrenia
Bibliographic record
Abstract
The attributional style is one domain of social cognition that involves perceiving, interpreting, and generating responses to others' intentions and behaviours in different situations. This study describes the attributional style of Egyptians with schizophrenia. The study took place in a psychiatric hospital in Egypt. Eight psychiatric wards were randomly selected, and all participants (150) with a diagnosis of schizophrenia participated. Data were collected using the Ambiguous Intention Hostility Questionnaire (AIHQ), the attributional style interview schedule, and the sociodemographic/clinical data sheet. Participants' scores on the AIHQ varied significantly between different situations (intentional, accidental, and ambiguous). The attributional style of the studied participants regarding their perceived psychosocial problems tended to be related to specific causes. These causes were mostly externally attributed to other people and to circumstances, and were perceived not to persist in the future. It would seem that Egyptians with schizophrenia tend to blame other people for negative events if these events are perceived to cause intentional harm.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".