Bibliographic record
Abstract
Alexithymia is a personality trait characterized by difficulties in both identifying and verbally describing one's own emotional state, experiences, and externally oriented thinking. Although the core problem of alexithymia is thought to be deficits in the perception and recognition of internal psychological and somatic states, many studies have shown the presence of deficits in the recognition of external emotional stimuli with negative valence, especially others' emotional facial expressions such as anger. The processing of facial expressions is combined with gaze direction as social signals. They play an important role in understanding others' attention, intentions, and emotional states. However, only a paucity of studies has been conducted on how emotional deficits in alexithymia affect social attention such as gaze-induced orienting. Consequently, the aim of the current study was to elucidate social attention in alexithymia by using a gaze-cueing paradigm based on Posner's endogenous attentional task. Forty-one participants completed the Japanese version of the 20-item Toronto Alexithymia Scale (TAS-20), which has three sub-scales, namely, difficulty identifying feeling (DIF), difficulty describing feeling (DDF), and externally oriented feeling (EOT). Participants in the top and bottom 15 of the total TAS and subscale scores were categorized as the high and low group of each scale. In the gazecueing paradigm, gaze cue with facial expressions depicting angry, fearful, and neutral emotions are presented as cue stimulus. The gaze-cueing effect was calculated as cue-target congruency, that is, the difference of the reaction time between congruent and incongruent conditions. Results showed that the high DIF group displayed a smaller gaze-cueing effect in the angry face condition compared to that of the low DIF group. The results suggest weak enhancement of attentional processing induced by emotionally arousing and socially relevant stimuli in individuals with high alexithymia. In the case of clinical alexithymia, those attentional and emotional characteristics might lead to maladaptive behavior in social situations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".