Community Satisfaction with Ecological Carrying Capacity and Services in an Integrated City of Lunang Silaut, Indonesia
Bibliographic record
Abstract
The research aims to determine to what extent (1) ecological carrying capacity influences the Development of the Independent Integrated City of Lunang Silaut, (2) ecological carrying capacity influences community satisfaction, (3) ecological carrying capacity affects the service quality of Independent Integrated City of Lunang Silaut, (4) development of Independent Integrated City of Lunang Silaut has an effect on community satisfaction, (5) the service quality has an effect on community satisfaction.The environment's carrying capacity means a place's ability to optimally support the life of living things for a long time.The research was conducted using a quantitative approach, involving 100 respondents from the community, community leaders, local government officials, academics, NGOs, and professionals.The Likert scale five questionnaires comprise 20 questions distributed proportionally to respondents.The results showed that (1) ecological carrying capacity has a positive effect on the Development of the Independent Integrated City of Lunang Silaut, (2) ecological carrying capacity has a positive effect on community satisfaction, (3) ecological carrying capacity has a positive effect on Independent Integrated City of Lunang Silaut service quality, (4) the Development of Independent Integrated City of Lunang Silaut has a positive effect on community satisfaction, (5) Independent Integrated City of Lunang Silaut service quality has a positive effect on community satisfaction.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".