Kerukunan dalam Komunikasi Antar Kelompok Agama Islam dan Hindu di Lombok
Bibliographic record
Abstract
It is not easy to reach a harmonious society in a multicultural country, the absence of good communication between stakeholders and groups that are related can create conflict. One of the key variables in fostering and realizing harmony is tolerance. The Lombok region which is the majority inhabited by Muslim communities can live in harmony and side by side with Hindu community. Based on the data obtained, Lombok is the city with the highest level of tolerance. This study examines how harmony can be created there and how the role of communication in creating harmony and communication between the two groups of different religions. This research was conducted with qualitative methods with a case study approach. Research data was obtained from interviews and observations. The results show that Hindu groups in Lombok live in the Lingsar region and in the area get along well because there are several factors, namely time, intermarriage, religion, and interaction. Communication also has a role in creating harmony because the basic condition of interaction is the existence of communication.Keywords : coordinated management of meaning
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".