欧盟政策对中国知识产权制度的影响 (The Impact of the European Union's Policy towards China's Intellectual Property Regime)
Bibliographic record
Abstract
The English version of this paper can be found at：http://ssrn.com/abstract=2631352 Chinese Abstract: 本文旨在审视欧盟两大科技援助项目IPR2和IP key项目对中国地区性知识产权执法的影响。本文论述了科技援助项目在影响中国知识产权法律体制等方面卓有成效，但在地区性政策实施方面却并不成功。主要原因是中国各区域经济发展重心各有差异。本文针对未来知识产权科技援助工作重点做进一步的讨论和研究。 English Abstract: This article evaluates the effectiveness of two major European Union technical assistance programmes, IPR2 and IP Key, in shaping China’s regional intellectual property (IP) enforcement. It argues that although technical assistance programmes have been effective in influencing the national IP legal framework, it has been less successful in assisting regional policy enforcement. This is primarily the result of divergent economic priorities at the sub-national level. The article further assesses potential priorities for future IP technical assistance.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".