Clinical correlates of alexithymia among patients with personality disorder
Bibliographic record
Abstract
The literature portrays patients with alexithymia as unusual and difficult to treat; research to date has not clarified the nature of this condition. This study addressed associations between alexithymia and constructs relevant to clinical intervention, namely attachment, quality of object relations, emotion regulation, defense style, personality disorder, and treatment outcome. Fifty-one patients admitted to an intensive group-oriented day treatment program were recruited. Prior to therapy, patients were administered self-report and structured interview measures of predictor and outcome variables; outcome measures were re-administered at completion of the 18-week program. Alexithymia was common in this sample, with four of five patients endorsing moderate or greater problems. Associations with attachment avoidance, primitive object relations, suppression of emotional expression, use of immature defenses, and severity of borderline personality disorder were identified. Alexithymia did not, however, predict outcome. Findings are considered in terms of how the construct informs views of personality disorder.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".