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Record W2140285882 · doi:10.1097/nmd.0000000000000353

Evidence of Contrasting Patterns for Suppression and Reappraisal Emotion Regulation Strategies in Alexithymia

2015· article· en· W2140285882 on OpenAlexaboutno aff
Julien Laloyaux, Carole Fantini‐Hauwel, Morgan Lemaire, Olivier Luminet, Frank Larøi

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2015
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaPsychologyExpressive SuppressionCognitive psychologyCognitive reappraisalEmotional regulationDevelopmental psychologySocial psychologyNeuroscienceCognition

Abstract

fetched live from OpenAlex

Alexithymia generally refers to difficulties in identifying and describing emotions. In this paper, two studies explored whether the emotion deficits observed in alexithymia may be related to the use of emotion regulation strategies. Relations with various sociodemographic variables were also explored. In the first study, 255 students completed the Emotion Regulation Questionnaire (ERQ) and the Toronto Alexithymia Scale-20. For the second study, 1107 participants from the general population completed the ERQ and the Bermond-Vorst Alexithymia Questionnaire. Results demonstrated that alexithymia was related to the use of a suppression strategy and in particular to difficulties verbalizing emotions, suggesting that the capacity to communicate and name one's emotion is a central aspect in alexithymia. Concerning sociodemographic variables, alexithymia and the use of a suppression strategy were found to be related to age and to be higher in males. The results of these studies and their clinical implications for treatment 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.

How this classification was reachedexpand

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 score0.089
Threshold uncertainty score0.123

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)0.0000.000

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 head0.050
GPT teacher head0.337
Teacher spread0.286 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations71
Published2015
Admission routes1
Has abstractyes

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