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Record W1985372428 · doi:10.1055/s-2002-35281

Verteilung des Persönlichkeitsmerkmals Alexithymie bei Patienten in stationärer psychosomatischer Behandlung - gemessen mit TAS-20 und LEAS

2002· article· de· W1985372428 on OpenAlex
Claudia Subič-Wrana, Susanne Bruder, W. Rees Thomas, Eckehard Gaus, Wolfgang Merkle, K. Köhle

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie · 2002
Typearticle
Languagede
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsGynecologyMedicine

Abstract

fetched live from OpenAlex

Preliminary findings of an ongoing study of the distribution of alexithymia in different diagnostic-groups of psychosomatically ill in-patients (n = 240, will be increased to n = 400) are reported. Alexithymiea is measured simultaneousely by the Levels of Emotional Awareness Scale (LEAS, a performance-test) and the 20-item Toronto Alexithymia Scale (TAS 20, a self-report-scale). Measured by the LEAS and compared with other diagnostic groups (affective, anxiety and compulsive-obsessive disorders; adjustment disorders; eating disorders), patients with somatoform disorders showed a decreased ability to be aware of and to communicate their emotional states. This finding which meets theoretical considerations about the origin of alexithymia could not be found with the TAS 20. The TAS 20 did not differentiate between the diagnostic groups, but showed - in accordance with two other self-report-scales (STAI for self reported anxiety as a personality trait and SCL-90-R for self reported somatic und psychic complaints) - higher mean scores at the onset than at the end of treatment. Methodical implications of the different findings of the two alexithymia scales are discussed.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.311
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0020.004
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0030.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0170.011

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.

Opus teacher head0.061
GPT teacher head0.340
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it