Ecotourism in Times of Covid-19: A Systematic Review from the Five Continents on How This Activity is Being Carried Out and What Proposals They Have for the Near Future
Bibliographic record
Abstract
The emergence of the covid-19 virus has prompted governments in several countries to close their international borders, close transportation routes and decree quarantines as a public health measure to prevent the spread of the virus among the population. Globally, essential businesses have continued to operate, while others such as tourism must wait. Ecotourism is a sustainable activity that attracts tourists concerned about the environment and local culture, which generates income for the locals. In order to have a broader picture of how the ecotourism sector is dealing with covid-19, a systematic review was conducted to identify Scopus records detailing such evidence disclosed from 2020 to the first quarter of 2021. As results, records were identified in the five continents, which agree that the pandemic has negatively affected the income of local people, who have been forced to close their businesses and even perform illegal acts; however, there are also encouraging proposals of economic reactivation plans presented by villagers, who expect the opening of this activity to operate keeping all the health safety measures decreed by their governments. Received: 6 May 2021 / Accepted: 27 September 2021 / Published: 5 November 2021
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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 | 0.006 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.012 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".