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Record W2901912092 · doi:10.46827/ejmms.v0i0.357

EFFECTIVENESS OF ACTIVITIES FOR WOMEN EVALUATION (IRAN PROJECT) IN AGRICULTURAL BANK BRANCHES OF TABRIZ CITY, IRAN

2018· article· en· W2901912092 on OpenAlexaboutno aff
Khadijeh Hazrat Gholizadeh, Gholmreza Rahimi

Bibliographic record

VenueEuropean Journal of Management · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsQuartileCustomer satisfactionQuarter (Canadian coin)AgricultureMarketingTest (biology)PopulationBusinessAgricultural scienceGeographyStatisticsMathematicsDemographySociology

Abstract

fetched live from OpenAlex

The main objective of this research is Effectiveness of activities for women evaluation (Iran project) in Agricultural Bank branches of Tabriz city. To investigate this research, to answer four main research question, with two of economic, social goals and four hypotheses have tested and to test this hypothesis, questionnaires in three different population (with the aim of customer satisfaction assess and survey of managers and employees) self-made set and surveyed. Results showed that average customer satisfaction (77.32) is the value that located in the second quartile and since the second quartile range is 73 to 78 and considering that average pointed at the second quarter, therefore we can say that customer satisfaction or by the other words Iran project effectiveness among customers is lower than average. Average employee’s satisfaction (86.10) was located lower than average of second quartile. Average manager’s satisfaction (96.70) was located higher than average of third quartile. In other words, managers' satisfaction is higher than average. Article visualizations:

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.647
Threshold uncertainty score0.483

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.042
GPT teacher head0.259
Teacher spread0.216 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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