Adapting to Change: A Case Study of New Era Art Resort and Spa's Business Evolution and Resilience Strategies During the Covid-19 Pandemic
Bibliographic record
Abstract
IntroductionThis case study focuses on the New Era Art Resort & Spa Park, established in 1987 in the Puli basin of central Taiwan.Conveniently located along the route to the renowned Sun Moon Lake, the park boasts a unique ambiance enriched by the authentic outdoor works of celebrated Taiwanese sculptor Lin Yuan, presented in an Art Brut style.By effectively leveraging these artistic resources, the New Era Art Resort & Spa has successfully attracted visitors in the tourism and hospitality sectors.Spanning 6.6 hectares, the sculpture park has developed a multifaceted business model that includes innovative dining options, conference and wedding facilities, vacation cabins, a spa, a beer plaza, and shops offering local specialties and souvenirs.Additionally, the blooming Tung flowers enhance the park's appeal, making it a significant attraction.The park's operations primarily utilize cottages constructed from Canadian fir, which are complemented by stone carvings, local gourmet food, health products, and unique offerings such as kiln-baked pizza.The diverse entertainment services create a comprehensive leisure and vacation experience that caters to a variety of visitor needs.Together with the rich local tourism
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| 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".