Bibliographic record
Abstract
The international tourism market changes of the Chinese Silk Road were analyzed by the market competitive state mode,the preference scale and market share.It showed that the tourism market of the Chinese Silk Road in 1995—2006 was in a deterioration state in the overall.The scenery market included Japan,US,Britain,France,Germany,Russia and Australia;the weak sparse scenery market was composed of South Korea and Singapore;and the strong sparse scenery market included the Philippines and Thailand.In the international tourism market of the Chinese Silk Road,Japan,US,Britain,France,Germany,Russia and Australia had the competitive advantages.Combined with the market share,the international tourism market of the Chinese Silk Road in 1995—2006 was divided into three categories: shrinking markets,such as Japan;the smooth expansion market,such as the United States,Britain,France,Germany and Russia;and the rapid expansion market,such as Canada,Australia,South Korea,Singapore,the Philippines and Thailand.
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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 | 0.001 | 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 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".