On the Problem of Re-Recognition in Contemporary Sino-Italian Relations
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
China and Italy enjoy a glorious history of friendly exchanges. In spite that the development of Sino-Italian relations has been relatively smooth and steady, the two countries are still facing a variety of problems, which are mainly due to the lack of necessary knowledge about each other. Mutual understandings between the two parts have been lagging behind their bilateral exchanges and cooperation. In other words, the two nations need to “re-recognize” each other in new situations and contexts. This paper reviews briefly the three main stages of Sino-Italian relations since the establishment of the People’s Republic of China, introduces different importance placed on their bilateral relations in different periods, deconstructs their changing understandings about “the other” and gives an explanation to a number of typical shortcomings that the two peoples are facing in the re-recognition.
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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 | 0.001 |
| 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 | 0.001 |
| 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 it