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Record W4411618312 · doi:10.51847/csraskjhx4

10.51847/CsrAsKjhx4

2000· article· en· W4411618312 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)AnxietyGroup psychotherapyMultiple sclerosisPsychological therapyPsychotherapistPsychologyClinical psychologyMental healthDASSPsychiatry

Abstract

fetched live from OpenAlex

The present research aimed to study the effect of group therapy based on hope therapy approach on mental well-being, anxiety, depression and stress in female patients with Multiple Sclerosis.This research has been a quasi-experimental study with posttest-pretest design with control group.Sampling was firstly done as a public invitation among women and girls in MS Society of Kerman and then, the volunteers were randomly assigned into two groups including experiment (n=15) and control group (n-15) and they completed the questionnaires including anxiety, depression, stress and mental well-being before and after intervention in posttest.Data were analyzed by using software SPSS18 and Covariance statistical method.Participants were trained for 8 sessions.The findings showed a significant difference in posttest score compared with pretest in experiment group regarding all variables including anxiety, depression, stress and mental well-being (p<0.001).So, group therapy based on hope approach can be used in order to reduce anxiety, depression and stress and increase the mental well-being of women with Multiple Sclerosis.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.064
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.9360.882

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 head0.007
GPT teacher head0.226
Teacher spread0.218 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2000
Admission routes1
Has abstractyes

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