Alexithymie und emotionale Intelligenz bei Schizophrenie
Bibliographic record
Abstract
In vorliegender Arbeit wurde Alexithymie und emotionale Intelligenz schizophrener Patienten mit der von Normalprobanden und depressiven Patienten verglichen. Zudem wurde exploriert, ob diese bei schizophrenen Patienten mit Personen- und Erkrankungsmerkmalen zusammenhängen. 31 schizophrenen Patienten, 50 depressiven Patienten und 100 Studenten wurden die Toronto-Alexithymie-Skala, die Emotionale Intelligenz-Skala und weitere Fragebögen vorgegeben. Die schizophrenen Patienten erreichten höhere Alexithymiewerte und zeigten eine niedrigere emotionale Intelligenz. Bei Kontrolle der Zustandsdepressivität wurde allerdings nur noch ein Gruppenunterschied im extern orientierten Denken bzw. eine Tendenz zu einer geringeren situationalen emotionalen Intelligenz ermittelt. Die Persönlichkeit schizophren Erkrankter zeichnete sich gegenüber den Gesunden v.a. durch eine erhöhte Introversion aus. Alexithymie und emotionale Intelligenz korrelierten erwartungsgemäß negativ miteinander.
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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 | 0.001 | 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 | 0.001 | 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) | 0.003 | 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".