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Record W4411656741 · doi:10.51847/jjfn9kd32d

10.51847/JJfN9kd32d

2000· article· en· W4411656741 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOrganizational commitmentPsychologyBusinessBusiness administrationBurnoutSocial securityTurnover intentionSocial psychologyClinical psychologyPolitical science

Abstract

fetched live from OpenAlex

Since the organizations want to improve their competitive level for their survival, having a healthy workforce is essential for realization of this important issue.Job burnout is a psychological process occurs under severe stress conditions and it is manifested in the form of emotional burnout, depersonalization, and weakened performance.The main objective of this research is to examine the relationship between organizational commitment and job burnout among the employees of social security organization of Gilan province.Population of study included 837 employees of social security organization of Gilan province, which 129 of them were selected as sample through simple random sampling method.Maslach burnout questionnaire and Allen and Meyer organizational commitment questionnaire were used to collect the data.Parametric test (Pearson correlation) by spss software was used to analyze data.The findings of this study indicate a negative relationship between organizational commitment and its dimensions (emotional commitment, normative commitment, and continuous commitment) and job burnout.In other words, one of the most important findings of the study suggests reverse correlation between organizational commitment and job burnout.

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 score0.675
Threshold uncertainty score0.427

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)0.9960.997

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 head0.274
Teacher spread0.261 · 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

Citations3
Published2000
Admission routes1
Has abstractyes

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