Assessment of Tourism Resource Potential at Buriram Province, Thailand
Bibliographic record
Abstract
<p>The objective of this paper is to assess the resource potentials for tourism and potential tourist destinations in the province of Buriram, Thailand. Buriram province is located in the North-eastern part of Thailand, about 410 km northeast of Bangkok. Indicators and evaluative standards for resource potential assessment were determined, and altogether the total of 31 sites were assessed by a simple weighted score method, one of the popular methods for evaluating the potential of tourism sites. The total number of indicators used was 45. The results revealed that eight sites were categorized into the natural tourist destination, ten sites were the historical tourist destination, ten sites were the cultural tourist destination, and another three were the sport-recreational tourist destination. These three sport-recreational sites, known as I-Mobile Stadium, Chang International Circuit, and Play La Ploen Boutique Resort and Adventure Camp, were the latest attractions because there were built within the last five years, but consequently have become among the most popular tourist attractions in the area. The site assessment revealed that tourism sites in Buriram province had a potential overall score of 2.23 (moderate level) from the highest score of 3.00. Approximately 39% of the total tourism sites have higher potential. According to the analysis of sites and tourism activities, Buriram is highly suitable for the educational tour in historical and cultural sites, and sports destination.</p><p> </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 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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".