Research on the Impact of COVID-19 on the GBR Ecotourism
Bibliographic record
Abstract
Today marine ecotourism is a style of ecotourism including recreational activities that involve travel away from one's place of residence and which have as their host or focus the marine environment [1][2]. Among marine ecotourism, Great Barrier Reef (GBR) is one of the most famous marine ecotourism destinations in Australia and have a concern of negative impact brought from COVID-19 pandemic in the world. This paper investigated on status of coral reef and marine ecosystems during COVID-19 from government reports, ecotourism organizations and further developed a scheme for future ecotourism in GBR. The effect of decreasing human intervention from ecotourism was found to be having both positive and negative effects. With decreased human supervision, some species such as whales benefited from fewer pollutants and increased number at habitats, while some species under protection of human activities were threatened by decreasing nutrition provided by human supports. For future ecotourism schemes, there should be a balance between governance and the activity of local firms. Though marine ecotourism is supportive for environmental ecosystems, there is still a certain amount of negative effects from it and the government has to limit the level of human activity in GBR. Conversely, local firms require economic activity to survive from the damage caused by COVID-19. Therefore, game theory was applied to the ecotourism planning and the Nash equilibrium strategy could be used for maximizing payoff for both governance and local firms.
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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 | 0.028 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.000 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".