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Record W4411965100 · doi:10.64278/jkamhot.2023.10.2.1

모발뽑기장애 아동의 감각처리능력과 작업수행 향상을 위한 감각통합치료 단일사례 연구

2023· article· ko· W4411965100 on OpenAlexaboutno aff
Mi-Young Hong

Bibliographic record

Venuenot available
Typearticle
Languageko
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

목적 : 본 연구의 목적은 감각통합치료가 모발뽑기장애 아동의 감각처리능력에 미치는 효과를 알아보는데 있다. 연구방법 : 연구대상은 7세 4개월 남아이고, 45분 씩 총 24회기의 감각통합치료를 실시하였다. 중재효과를 알아보기 위한 도구로는 감각프로파일(Sensory Profile; SP), 캐나다작업수행측정(Canadian Occupational Performance Measure; COPM), 아동의 모발뽑기척도-부모용(Trichotillomania Scale for Children, Parent version; TSC-P)을 실시하였고, 양육자의 보고에 따른 변화를 기술하였다. 결과 : 연구 결과에 따르면, 모발뽑기장애를 가진 아동들에게 감각통합치료를 적용한 결과, 모발 뽑기 심각도 감소와 함께 감각처리능력, 작업수행 능력 및 만족도 점수에 긍정적인 향상이 관찰되었다. 결론 : 본 연구에서는 모발뽑기 증상을 가진 아동들에게 감각통합치료를 적용하여 작업수행 능력을 향상시키는 중재 방법을 제시하였다. 이러한 결과는 임상적인 근거로 활용될 수 있으며, 모발뽑기 증상을 가진 아동들에게 적절한 치료 방법을 제공하는 데에도 큰 도움이 될 것이다.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.018
GPT teacher head0.317
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2023
Admission routes1
Has abstractyes

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