Bibliographic record
Abstract
Nature has always been an important element of myths and religions and had a different standing within ideologies. Because various factors have been involved in creation of myths, this research aims to clarify the role of nature in creation of Iranian myths. Generally, the structure of Iranian myth is a kind of belief in duality of nature, in human and in the conflict forces existing in the world which best are expressed in the continued conflict between good and evil forces. Iran is a country with varied natural geography and can be called the land of great conflicts, so this paper aims to investigate the role of nature in the creation of Iranian myths and determine the effective natural and mythological forces. Data gathered by the documentary method and the research was performed by a descriptive, adaptive and analysis method. According to the results, this research concludes that natural elements play a significant role in the Iranian myth. llected through library-field. The subjects in this study consist of Payame Noor University staff of Hormozgan province. In this study, 54 staff of Bandar Abbas Payame Noor University were selected through random sampling. After gathering the required data through knowledge management questionnaire, knowledge management processes were measured based on the five dimensions such as the capture of knowledge, acquisition of knowledge, transmission of knowledge, creation of knowledge and application of knowledge. In order to provide for the reliability of the questionaire cronbachs alpha was used. In order to check the significance of the difference between responses descriptive and inferential statistics such as regression, one way anova and t test were run using SPSS version 20. The result show that the staff means score of knowledge management was 76/66±20/48. The result shows that there was a significant relationship between social capital and knowledge management. Also there was a significant relationship between social capital and the five components of knowledge management such as capture of knowledge, acquisition of knowledge, transmission of knowledge, creation of knowledge and application of knowledge. Also there was a significant relationship between human capital and the component of knowledge management.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".