Zusammenhang von Alexithymie und Emotionsregulationsstragien bei jungen Erwachsenen
Bibliographic record
Abstract
In der vorliegenden Studie wird der Zusammenhang zwischen Alexithymie und Emotionsregulationsstrategien bei jungen Erwachsenen untersucht. Grundlage der Erhebung ist eine Online-Befragung, in der die Teilnehmer*innen den Toronto Alexithymia Scale (TAS-26) sowie den Emotionsregulationsfragebogen (ERQ) ausfüllten. Ziel der Analyse ist es, zu prüfen, ob und in welchem Ausmaß Alexithymie mit der Nutzung spezifischer Emotionsregulationsstrategien – insbesondere kognitiver Neubewertung und expressiver Suppression – korreliert. Zur statistischen Auswertung werden Pearson-Korrelationen berechnet. Es wird erwartet, dass höhere Werte in Alexithymie mit einer geringeren Nutzung kognitiver Neubewertung und einer stärkeren Nutzung expressiver Suppression einhergehen. Die Ergebnisse sollen zu einem besseren Verständnis der Rolle von Alexithymie in der emotionalen Selbstregulation junger Erwachsener beitragen.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.017 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.021 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.045 | 0.136 |
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; both teacher heads agree on what is shown here.
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".