Staycation Post-pandemic: The Experiential Tourism in Malaysia
Bibliographic record
Abstract
<p>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.</p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.052 | 0.003 |
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".