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Art therapy in treatment, rehabilitation, micro- and macrosocial adaptation of children with autism spectrum disorders by means of a special rehabilitation and adaptation program “Art therapy (drama therapy): ‘Because You are Needed…’ for children with general disorders of psychological development and other mental disorders”

2019· article· en· W2996091409 on OpenAlexaff
М А Бебчук, Л А Ходырева, D. Dovbysh, Emiliya Dzhavadova, E E Konshina

Bibliographic record

VenueProblems of Social Hygiene Public Health and History of Medicine · 2019
Typearticle
Languageen
FieldPsychology
TopicPsychology of Development and Education
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsDrama therapyRehabilitationAdaptation (eye)Art therapyFamily therapyPsychotherapistPsychologyDramaGroup psychotherapyClinical psychology

Abstract

fetched live from OpenAlex

For the first time, the effectiveness of art therapy (drama therapy) in children with mental disorders has been studied on substantial clinical data. Psychotherapeutic work involved certain form of drama therapy that included patients watching Moscow theaters performances and then discussing them with family and in group therapy sessions with psychologists. Researchers have developed drama therapy methods for children with mental disorders, determined indications and contraindications for this treatment. The study shows effects of art therapy on the child adaptation to the conditions of the micro-social environment, particularly on his family adaptation, formation of harmonious, supportive, rehabilitative family relations. It is noted that art therapy influences adolescent's adaptation to the conditions of the macrosocial environment, particularly his adaptation in a peer group, behavior in various situations and formation of normal behavioral patterns in different environmental conditions.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.028
GPT teacher head0.302
Teacher spread0.273 · 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 designObservational
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

Citations1
Published2019
Admission routes1
Has abstractyes

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