Silence in the psychotherapy of adolescents with borderline personality pathology.
Bibliographic record
Abstract
Silence in psychotherapy has been associated with different, sometimes opposing meanings. This study investigated silence during adolescent identity treatment in adolescent patients with borderline personality pathology. A more active therapeutic approach with less silence is advised in adolescent identity treatment. It was hypothesized that a session with more silence might be negatively perceived by adolescent patients. A total of 382 sessions that involved 21 female patients were analyzed. Silence was automatically detected from audio recordings. Diarization (segmenting an audio according to speaker identity) was performed. The patient's perception of the sessions was measured with the Session Evaluation Questionnaire. The amount of silence in the different speaker-switching patterns was not independent of one other. This finding supports the hypothesis of mutual attunement of patient and therapist concerning the amount of silence in a given session. Sessions with less silence were rated as being both smoother and better. The potential implications for clinical practice are discussed. The investigation of turn-taking and interpersonal temporal dynamics is relevant for psychotherapy research. The topic can be addressed efficiently using automated procedures. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".