Evaluasi Kerangka Konseptual Daya Dukung Ekowisata (Studi Kasus: Taman Nasional Karkheh dengan Taman Nasional Indonesia)
Bibliographic record
Abstract
Carrying capacity measurement in an ecotourism concept is very important to measure the capacity of space to receive the number of tourists and their activities in the area. The calculating methods of the carrying capacity concept have been implemented in several ecotourism areas based on several categories, such as; physical, real, effective, ecological and socio-cultural carrying capacity. In this case, research was carried out with the aim of studying the concept of carrying capacity applied in Karkheh National Park and National Parks in Indonesia. This can be studied to find a new concept that can be useful for carrying capacity calculations in Indonesia which are more complex and on target. Literature study is the method used in this research to examine information related to each National Park area. Thus, the results of the elaboration of the concept of carrying capacity between Karkheh National Park and National Parks in Indonesia show that socio-cultural carrying capacity needs to be applied to National Parks in Indonesia because of the same high density context.
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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 | 0.009 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".