Using the Sand Tray in the Context of the Latest Research in Neuroscience to Transform Clients’ Defences
Bibliographic record
Abstract
Current research and theories of neuroscience are woven together with Satir psychotherapy and sand tray therapy in this author-developed therapeutic approach called “Neuroscience and Satir in the Sand Tray” (NSST). The theory and the practice of all three parts of NSST are explained and elucidated. This therapeutic approach achieves the transformation of the defences by eliciting the projective identification into figurines and the subsequent enactments(s) that bring about profound “aha” moments of transformation. An example of transformation in the sand tray is presented with photographs. It recounts an NSST training session with a young adult counsellor who created a scene in the sand tray of a highly defended little boy (figurine) and announced that this defensive protection would “never come off.” This article illustrates how such strong, familiar patterns of protection can be transformed within the sand tray before occurring in the body so that the client can experience themselves as being different at a cellular level through epigenetics.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.026 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".