Assessing Citizenship Participation and Religious Ethics in Ecotourism Development near an Islamic Boarding School in Indonesia
Bibliographic record
Abstract
Citizenship participation in the empowerment of local potential is a prerequisite for every development plan. Community-based ecotourism development (CBED) involves the resources and unique characteristics of the local community, including physical and nonphysical components (values, norms, customs, and traditions). The aims of this research are (1) to describe the role of Isy Karima Islamic Boarding School in developing religious ethics; (2) to describe a mechanism for developing citizenship participation; (3) to map the aspects of citizenship participation in sustainable ecotourism development; (4) to analyze the stages of citizenship participation in sustainable ecotourism development; and ( The research method used was qualitative descriptive, with a sociological anthropological approach. Three surrounding villages in the District of Karangpandan were chosen through purposive sampling to characterize the participation of local citizens in CBED. The data obtained were then analyzed using a single case analysis. The results show that Isy Karima Boarding School holds various activities for the empowerment of MSMEs, one of which is the development of partnership networks. Citizenship participation in the community around Isy Karima Boarding School in sustainable tourism development has grown and developed through a mechanism of awareness, training, counselling and guidance, and execution. The activities of stakeholders in building sustainable ecotourism have an impact on economic, socio-cultural, and political aspects. This impact can provide a basic reference for an ecotourism development model that includes community participation.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".