Sustainable Tourism Management by Using Recreational Carrying Capacity Concept (Case: Mesr Desert in Iran)
Bibliographic record
Abstract
Deserts have a variety of potentials in ecotourism where comprehensive planning can lead to the sustainable development of the desert. Carrying capacity can have different partial definitions, especially depending on the economic, social and environmental dimensions. The set of these types of capacities can constitute the tourism carrying capacity. One of the distinguished deserts in Iran is Mesr, located in Isfahan province. The objective of this paper is to identify the optimum number of eco-tourists visiting Mesr desert, for the achievement of sustainable development in this area, based on the desert ecological potentials. Therefore organising and planning these potentials could raise the economical growth of the region. The carrying capacity of the area is assessed by using the methodology suggested by the IUCN. The capacities are assessed in three levels. With respect to these capacities in the planning process, the environmental damages prevent in the region and provide easy options for eco-tourism. It is necessary to survey the damaging factors that make the color of the sand to fade. After sampling of septic and non-septic sand, the outcome shows remarkable effect of insecticides on sand pigment. This implies more control on accommodation conditions.
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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 | 0.003 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".