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Record W4411618197 · doi:10.51847/xthurx2qtp

10.51847/XtHURX2Qtp

2000· article· en· W4411618197 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyTraining (meteorology)Medical educationSelf-esteemApplied psychologyClinical psychologyNursingFamily medicineMedicineGeography

Abstract

fetched live from OpenAlex

The purpose of this study is to review the effectiveness of effective communication training on the self-esteem and general health of women visiting the counseling centers of the district 1 of Tehran.This is a semi-experimental with a pretest, posttest and a control group.The statistical population of this study was comprised of women visiting the counseling centers of district 1 of Tehran city.50 of these women showed interest in participating in effective communication training courses.Out of these 50 women, 30 of them were selected as the research sample using simple random sampling method and were divided into an experimental group and a control group.The general health questionnaire (GHQ28) and Aizeng self-esteem questionnaire were the tools used in this research.The independent variable in this research was the effective communication training and the effective communication training course offered to the samples in the experimental group was 10 2-hour sessions.After the training program ended, the posttest was done for the both groups.The results of the analysis of hypotheses using covariance analysis method showed that effective communication training has affected the general health and self-esteem of women participating in the courses.

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 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 score0.667
Threshold uncertainty score0.428

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)0.9970.997

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 head0.014
GPT teacher head0.273
Teacher spread0.260 · 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; both teacher heads 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

Citations1
Published2000
Admission routes1
Has abstractyes

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