Staycation Post-pandemic: The Experiential Tourism in Malaysia
Bibliographic record
Abstract
According to World Economic Forum (2021), workers daily stress reached a record high in 2020. Workers in US and Canada showed the highest level of daily stress with 57% in 2020. The COVID-19 pandemic has extremely impacted the personal well-being and social and working life of millions of people globally. Malaysians reported the highest level of anxiety among 12,823 employed online adults aged 16-74 across 28 countries between November to December 2020 based on a research conducted by Ipsos on its Global Advisor online platform (IPSOS MALAYSIA, 2021). There is an unexpectedly high percentage of Malaysians who experienced increased anxiety around job security with 74% compared to a global percentage of 56%, and stress due to changes in work routines and organization with 67% compared to a global percentage of 55%, respectively. Besides, 10% of the employees lost their jobs, and 7% of employees chose to leave their jobs during this Covid-19 pandemic at the end of 2020 in Malaysia. Although stress is a potential killer to a person's health and well-being, several studies have shown that seven consecutive vacation days provided an efficient recovery strategy.
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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 | 0.001 | 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 | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".