Mind reading improvements in mentalization-based therapy training
Bibliographic record
Abstract
The psychological strain of many psychiatric disorders arises from difficulties encountered in social interactions. Social withdrawal is often the first symptom of neuropsychiatric disorders. The authors explore the various options for training social cognition skills. Social cognition was assessed using the Movie for the Assessment of Social Cognition (MASC). After completion of mentalization-based therapy (MBT) training, MASC scores improved significantly in health care providers (p = .006, r = .57). Mentalizing (operationalized with reflective functioning [RF]) was assessed in the MBT group (Group A) and compared with RF in a control group (Group B). RF was significantly higher in Group A (RF = 4.35, SD = 1.19) than in Group B (RF = 3.43, SD = 1.70) (p = .0385; Cohen's d = 0.65). MBT might be a promising intervention in social cognition training. Mentalizing skills might be associated with attitude.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.009 | 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 teacher head, 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".