Community Participation in the Management of Sorong Nature Tourism Park, Sorong City
Bibliographic record
Abstract
This research aimed to identify the participation level of communities in the management program of Sorong Nature Tourism Park (NTP) and to provide alternative recommendations that can be used to support the success of the management program based on community participation. The results of the research showed that community participation in the management of Sorong NTP had the highest values in the household group (15 respondents or 40,54%) and the lowest was group leader (1 respondent or 2,70%), similar with the intensity of community participation. Community participation in Sorong NTP includes group leaders, interest group, head of household, women/housewives and youth. The participation level was categorized into very inactive and inactive, influenced by community participation function which generally occurred inthe form of implementing activity and intensity of participation of society element in the form of providing consultation and information. Management efforts include seeking legal aspects of the area to be the basis of management programs, seeking the payment of customary rights to ensure the existence of claims-related areas of the community, involving communities in planning, maintenance, management, decision-making, initiating action and control programs, and increasing the frequency of socialization and counseling to provide insight into the community about the economic means and the ecological meaning of the results of management program.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".