Bibliographic record
Abstract
Confucius Institute is not a university or college in general sense. It is a non-profit communicative organization established for spreading Chinese culture and language. Confucius Institute only provides non-degree education and all overseas Confucius institutes are embranchments belonging to the headquarter in Beijing, China. Confucius institutes only adopt Sino-foreign cooperative education model. The development speed of the Confucius institutes is drastic. China has already set up around 700 Confucius institutes and classrooms all over the world. Such rapid development of the Confucius institutes is promoted by the global mandarin fever and Chinese government’s great input. However, after the case that the United States’ government requested some Confucius institutes’ teachers return China last year, the author of this paper realizes the hidden worries brought by fast development and thus tries to give some suggestions on certain legal issues behind this. Key words: Confucius institute; Legal considerations; Chinese teachers rights
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 | 0.052 | 0.078 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.016 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.020 | 0.018 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".