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Record W3126901941

Moving Toward Regulation Using Synergetic Play Therapy

2020· article· en· W3126901941 on OpenAlex
Johanna Simmons

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Counselling and Psychotherapy · 2020
Typearticle
Languageen
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychotherapistMindfulnessInterpersonal communicationPsychologyVariety (cybernetics)Play therapyDevelopmental psychologySocial psychologyComputer scienceArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

Children generally do not possess the complex, expressive language skills needed to communicate the struggles they are experiencing. In response to this, a variety of play therapy models have emerged. This article concentrates on the application of a research-informed model of play therapy delivery called synergetic play therapy (SPT), which combines interpersonal neurobiology, attachment theory, nervous system regulatory principles, mindfulness, physics, and the self of the therapist. By combining this model with child-centred play therapy (CCPT), the author draws on two case study examples to demonstrate the efficacy of the SPT model when it is coupled with CCPT. The findings and case studies suggest that this approach reduces the severity of identified behavioural concerns. Future investigations in this area are recommended given the gap in the literature regarding combining SPT and CCPT.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.287
Teacher spread0.231 · 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