Understanding the Current Conditions of Tourism Product and Tourism Perceptions in As-Salt City, Jordan
Bibliographic record
Abstract
This study aimed to understand the current condition of tourism product and tourist perceptions in As-Salt City. Quantitative research methodology has been developed to meet the research aims and objectives. The quantitative technique was used based upon the opinion of tourists who visited Salt in order to understand the current condition of tourism product and tourist perceptions in Salt. The result revealed that tourists in Salt were younger than expected especially Jordanian ones and the majority of them were females. Period stayed in Salt was mostly less than one day for the highest percentage of tourists especially for non-Jordanians. The most common reason for coming to Salt was because Salt is close to Amman (the capital of Jordan). After visiting As Salt, most of tourists' especially non-Jordanians had a very positive reaction about Salt and recommended it for others, although they faced some difficulties in it such as bad traffic and other some facilities'.
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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 | 0.004 | 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) | 0.000 | 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 teacher head, 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".