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Record W2123629071 · doi:10.5267/j.msl.2011.09.014

The relationship between employees’ self-esteem and pertinacity

2011· article· en· W2123629071 on OpenAlexvenueno aff
Jafar Beikzad, Mostafa Abbasalizadeh, Saeid Ghorbannejad Maleki, Roghie Fathi Bonabi

Bibliographic record

VenueManagement Science Letters · 2011
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsnot available
FundersUniversity of BonabIslamic Azad University
KeywordsPsychologySelf-esteemSocial psychologyBusiness

Abstract

fetched live from OpenAlex

The purpose of this paper is to evaluate the relationship between employees' of East Azarbaijan Melli bank (zone 10) self-esteem and pertinacity. For this reason, employee's self-esteem was arranged in two dimensions, which are consistency solidity, emotional inconsistency and pertinacity. The questionnaire is based on Kobasa theory including three sides including commitment, control and defiance. There are two basic and three subsidiary theories. Employee of East Azarbaijan Melli bank (zone 10) is statistical society of this research, which includes 80 people. Reference to restricted volume of statistical society, total statistical society is concerned as under evaluation society. The tool of data gathering is two questionnaires, which are Aizenc's self-esteem questionnaire and Kobasa's pertinacity standard questionnaire, which are delivered for evaluating society after perpetuity and justifiability determination. The descriptive statistical methods are used for collected questionnaires analyze. Thus, the descriptive statistical method was used to summarize, to categorize and to interpret statistical data's. In addition, statistical tests such as Pearson and Freidman's coherency R are used to test the hypothesis of research. The results indicate that there is a meaningful relationship between self-esteem and pertinacity and its sides on employees of East Azarbaijan Melli bank (zone 10). They present maximum relationship between self-esteem and pertinacity control and minimum relationship between pertinacity commitment dimensions.

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)0.001
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 score0.108
Threshold uncertainty score0.647

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.076
GPT teacher head0.315
Teacher spread0.239 · 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
Published2011
Admission routes1
Has abstractyes

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