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Record W2326152888 · doi:10.11628/ksppe.2015.18.2.089

The Effect of Horticulture Therapy Program Focusing on Cultivation about the Personal Relationship, Self-Esteem, and Mood of Chronic Schizophrenic Patients According to Alexithymia Levels

2015· article· en· W2326152888 on OpenAlexaboutno aff
Mi Hye Song, Chul Soo Park, Gyeong Hui Kang, Sun Sook Lee, Moo Ryong Huh

Bibliographic record

VenueJournal of people, plants, and environment · 2015
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaFeelingMoodSelf-esteemPsychologyClinical psychologyPromotion (chess)Openness to experienceToronto Alexithymia ScalePsychotherapistSocial psychology

Abstract

fetched live from OpenAlex

The objective of this study was to feasibility search about horticultural therapy program focusing on cultivation with emotion promotion program for chronic schizophrenic patients according to alexithymia levels by analyzing effect on personal relationship, self-esteem and mood. This study was conducted once a week from March 26 th , 2014 to June 11 th , 2014 at health center in Haman for 10 chronic schizophrenic patients. Only heavy alexithymia group had significant decline about factor 1 (difficulty identifying feelings: F1) and factor 2 (difficulty describing feelings: F2) in TAS-20K after horticultural therapy program focusing on cultivation. And confidence, openness, and understanding scores in relationship respectively increased significant (1.4 score, 5 score, 5.4 score). In addition self-esteem increased significant score in heavy and none-heavy alexithymia group without reference to alexithymia. On the other hand, mood had not significant to both. This result showed a possibility of horticultural therapy program focusing on cultivation for chronic schizophrenic patients according to alexithymia levels as therapeutic tool.

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)0.000
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 score0.050
Threshold uncertainty score0.241

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)0.0000.000

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 head0.017
GPT teacher head0.261
Teacher spread0.244 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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