A study on the time and spatial dynamic changes of the international visitor generating markets of Xi'an
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aim To study dynamic developing regulation and characteristics of 13 international markets of Xi'an. Methods Using the concentration ratio, the preference scale and the competition state, the time and spatial changes are analyzed. Results It holds that there is a wider spread of visitor generating regions for Xi'an and a more steady tourism management; moreover, there is a wide gap between the annual concentration ratio, the preference scale and the competitiveness scale of each country. Conclusion The priority should be given to major markets like Korea, German, Great Britain, France and America. Try to ensure the Japanese market and develop the Canadian market and the Australian market. The four countries in south east Asia should be treated differently and be developed preferentially.
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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 | 0.001 | 0.000 |
| 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 | 0.001 | 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 it