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Record W3135959706

Using the Sand Tray in the Context of the Latest Research in Neuroscience to Transform Clients’ Defences

2020· article· en· W3135959706 on OpenAlexvenueno aff
Madeleine M. De Little

Bibliographic record

VenueCanadian Journal of Counselling and Psychotherapy · 2020
Typearticle
Languageen
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsnot available
Fundersnot available
KeywordsTrayContext (archaeology)PsychologySession (web analytics)Transformation (genetics)Computer scienceEngineeringHistoryMechanical engineeringChemistryArchaeologyWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.906

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.183
GPT teacher head0.390
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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