Bibliographic record
Abstract
The current research aims to analyze effect of indices of quality of relationships on customers' loyalty in Pishraft Darman Company.The statistical population of this study includes all customers in Pishraft Darman Company in 2017 and 150 customers were chosen as statistical sample using unlimited population sampling technique.In this survey, indices of quality of relations (trust commitment and satisfaction) were considered as independent variables and customers' loyalty was assumed as dependent variable.The current research is included in applied studies and it is deemed as a descriptive survey in terms of method.The librarian method was utilized in this study for data collection.The data collection technique was of librarian type and questionnaire was adapted as a tool for data collection.All hypotheses were analyzed at significance level (p<0.01) for which SPSS software (v.20) was employed for execution of all statistical operations.The research findings indicated that the indices of relationship quality might affect customers' loyalty in Pishraft Darman Company.Trust, commitment, and satisfaction affect the relationship in loyalty of customers in Pishraft Darman Company.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.947 | 0.926 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".