Alexithymia’s Epiphenomenality as a Mediator Between Unsupportive Emotion Socialization and Later Psychopathology
Bibliographic record
Abstract
In accord with its conceptualization as a deficit, alexithymia has often been theorized and tested as a mediator of the association between childhood risk factors and later psychopathology. However, this is questioned by recent research which conceptualizes alexithymia as the result of negative perceptions of emotions, which by themselves could act as the real mediator of this association between childhood risk factors and later psychopathology. Cross-sectional data were collected through self-report questionnaires,from 193 undergraduate students. Results suggest that, in non-clinical samples, the association between an unsupportive emotion socialization alexithymia is completely mediated by avoidance-related negative attitudes towards sadness. Also, the association between emotion socialization and later psychopathology is not (in the case of borderline personality traits) or only minimally (in the case of depressive symptoms) mediated by alexithymia when these avoidance-related negative attitudes towards sadness are also included as a mediator. Theoretical and clinical implications are discussed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".