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Record W2127992297 · doi:10.5267/j.msl.2012.12.013

An investigation on impact of Glasser method on improving quality of life: A case study of mentally retarded children’s mothers

2013· article· en· W2127992297 on OpenAlexvenueno aff
Tayebeh Sadat Alavi Hejazi, Yousef Gorji, Afsaneh Javadzadeh

Bibliographic record

VenueManagement Science Letters · 2013
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
FundersWorld Health Organization
KeywordsMentally retardedPsychologyQuality (philosophy)Quality of life (healthcare)Developmental psychologyPsychotherapist

Abstract

fetched live from OpenAlex

This study aims to evaluate the effectiveness of training on quality of life based on Glasser's training program on parents with mentally retarded children. In our study, samples were divided into two groups of experiment, control and pretest were executed for two groups, and then Glaser's method was performed in six consecutive 150 minutes long sessions and, finally, both groups were investigated, statistically. The population of this survey includes mothers of mentally retarded children and the study has been performed in city of Esfahan, Iran. We selected a group of 60 mothers and divided them into two equal groups of 30 people. World Health Organization Quality of Life Questionnaire contained 26 questions where 24 questions measure physical and psychological health, social relationships and environment health consisted of 7, 6, 3 and 8 questions, respectively. The results of the survey indicate that Glaser's training program could significantly improve quality of life in our study.

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)0.003
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 score0.088
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.072
GPT teacher head0.420
Teacher spread0.347 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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