An Expert Understanding of the Single-Session Mindset
Bibliographic record
Abstract
Following Moshe Talmon’s (1990) ground-breaking work on single-session therapy, the philosophy and practice of single-session therapy has expanded across the world. Critically, and regardless of context and approach, single-session therapists support adopting a “single-session mindset” (Cannistrà, 2022; Hoyt et al., 2020). Our study sought to clarify expert’s understanding of this mindset with empirical evidence. Ten world leading figures in single-session therapy were interviewed against this aim. Reflexive thematic analysis highlighted a single-session mindset is founded upon nine core beliefs and seventeen attitudes that are intentionally embraced, before and during single-session work. This mindset aligns the therapist and client towards the possibility of creating change within a single session. The findings provide empirical clarity on the concept of the single-session mindset, offering valuable insights for practitioners attempting to implement brief methods into practice and for trainers who are helping others to do so.
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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) | 0.000 | 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".