Innovation to Development the Potential of Integrating Modern Technology for Buddhist Monk Propagators in Mekong Region
Bibliographic record
Abstract
Innovative Development of the Potential to Integrate Modern Technology for Buddhist Monks as Promoters of Buddhism in the Mekong Region employed a mixed-method research and development approach. The objectives were: to investigate the current conditions and factors influencing the development of innovations for disseminating Buddhism by monks in the Mekong region using modern social media technology, to create and develop innovative methods for Buddhist dissemination through social media platforms, and to evaluate the satisfaction of using these innovations for disseminating Buddhism via social media. Target groups included 25 Buddhist missionary monks, 20 foreign missionary monks in the Mekong region, 140 Buddhist monks teaching moral studies in schools, and 80 administrators from Buddhist universities. Quantitative tools included a questionnaire with a reliability score of 0.956, while qualitative tools involved structured interviews. Statistical analyses included percentages, mean, t-tests, and stepwise multiple regression. Qualitative data were analysed through content analysis and thematic interpretation based on Buddhist principles. The study found that the use of social media for disseminating Buddhism was rated very high (mean = 4.62). Factors such as social context, dissemination components, and management had a significant influence. The study proposed a systematic model for dissemination, which included planning, organizational structure, technology integration, and content delivery methods. Key outputs included an e-book titled "Principles of Meditation Practice" for social media distribution. Monks rated this innovation highly for usability and benefits (mean = 4.65).
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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".