Vietnam's Tourism Industry and COVID-19: An Analysis of the Industry’s Challenges in the First Quarter of 2020
Bibliographic record
Abstract
ABSTRACT The primary objective of this paper is to evaluate how Vietnam has overcome the challenges confronting the tourism industry during the COVID 19 pandemic. Today, Vietnam is considered a premiere tourism destination and has a comparatively low COVID-19 death rate. COVID-19 has claimed over a million lives since early 2020 and has caused political, economic, social, and environmental paralysis. However, Vietnam's resilience, recovery from lockdowns, timely policy responses, and the cooperation of citizens and residents assisted the fight against this contagious disease. Secondary data from available government, newspaper, and academic sources are analysed in order to evaluate Vietnam’s tourism industry's success at battling the challenges of COVID-19. Recommendations are proposed to strengthen the Ministry of Culture, Sports, and Tourism’s coordination with other ministries in devising plans and programs to overcome future crises that are likely to negatively impact the tourism industry. Keywords: COVID-19, Tourism industry, Vietnam.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".