Bibliographic record
Abstract
www.elsevier.com/locate/paid Personality and Individual Differences 43 (2007) 95–1050191-8869/ $- see front matter 2006 Elsevier Ltd. All rights reserved.In order to broaden the alexithymia concept, we identified six aspects in a newly developed questionnaire for children which aims to measure emotion awareness: Differentiating Emotions, Verbal Sharing of Emo-tions, Bodily Awareness, Acting Out Emotions, Analyses of Emotions, and Others ’ Emotions. First, the six-factor structure of this Emotion Awareness Questionnaire was identified in children (692 children, 9– 16 years old), although the scale Acting Out Emotions showed poor psychometric properties. Second, the predictive validity of the Emotion Awareness Questionnaire showed promise with respect to self-reported somatic complaints (in samples from two different countries, the UK and the Netherlands), depression and worry. Only Acting Out Emotions did not contribute to any of the criterion variables whilst Bodily Awareness and Others ’ Emotions contributed in the unexpected direction. It is proposed that the Emotion Awareness Questionnaire could help to identify which specific elements of emotional (dys)func-tioning are related to different kinds of psychological problems.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.218 | 0.097 |
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".