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Record W2026481058 · doi:10.1159/000289076

Alexithymia, Anger, and Interpersonal Behavior

2010· article· en· W2026481058 on OpenAlex

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

VenuePsychotherapy and Psychosomatics · 2010
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaAngerPsychologyToronto Alexithymia ScaleInterpersonal communicationClinical psychologyInterpersonal relationshipSocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: We explored the relationship between alexithymia and interpersonal behavior, particularly the expression of anger. METHODS: Ninety-eight college students completed the Toronto Alexithymia Scale. A median split was used to divide participants into a low-alexithymia and a high-alexithymia group. The experimenter intentionally engaged in a series of anger-provoking behaviors. RESULTS: Compared to individuals in the low-alexithymia group, individuals in the high-alexithymia group were more interpersonally avoidant and exhibited more nonverbal anger, yet there was a trend for them to describe their lab experience as more pleasant. Among individuals in the high-alexithymia group, the different measures of anger and interpersonal behavior were less strongly associated than they were among individuals in the low-alexithymia group. CONCLUSIONS: The results provide evidence of a complex association between alexithymia and anger, and of the lack of coherence in the communication of individuals with high levels of alexithymia.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.810

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.013
GPT teacher head0.298
Teacher spread0.284 · 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