Bibliographic record
Abstract
This study aims to identify and analyze the potential of Buddhist communities in Central Java Province in order to strengthen religious identity and enhance their social engagement as a minority group within a multicultural society. The study employs a quantitative approach, collecting data from 376 respondents through a structured questionnaire. The collected data were analyzed using descriptive statistical techniques and Pearson correlation analysis to examine the relationships among the studied variables. The findings indicate that six key factors significantly contribute to strengthening religious identity and the spiritual resilience of Buddhist communities, namely cultural preservation, arts and traditions, utilization of cultural heritage sites, community economic development, and the implementation of religious activities. Among these factors, regular religious activities and the use of temples as religious tourism destinations emerged as the most dominant factors in encouraging community participation, social solidarity, and the sustainability of Buddhist teachings. These findings underscore the importance of adopting a holistic and locally grounded approach in community development initiatives. This study offers important implications for the formulation of religious policies and the development of more inclusive, contextual, adaptive, and sustainable strategies for the empowerment of Buddhist communities at both regional and national levels.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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; both teacher heads 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".