A study on the effect of social capital on learning organization: A case study of Jihad Agriculture Organization of Kermanshah, Iran
Bibliographic record
Abstract
One of the challenges in contemporary zone of management and organizational behavior is to create and strengthen social capital. Social capital arises from individuals trying to help people build trust, relationships and cooperation. Without social capital, employees are not able to share information and knowledge. The purpose of this study is to review the relationship of social capital and the learning organizational in one of Iranian organizations called Jihad Agriculture Organization of Kermanshah. The statistical population includes 270 employees of this organization and a sample size of 159 people are chosen using Morgan statistical table for a the first six months of 2012. The research method is descriptive-survey, the type of correlation and a questionnaire for collecting information are used. A number of university professors confirmed validity of the questionnaires. Their reliabilities were obtained with Cronbach's alpha and the coefficients for questionnaire of social capital was 0.705 and for questionnaire of learning organization was 0.838, respectively. By using correlation coefficient and multiple regressions, the data were analyzed. Results in a significant level of 95% showed, social capital had a meaningful relationship with learning organizational.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".