Bibliographic record
Abstract
Property rights are considered fundamental in constitutional jurisprudence and essential for economic development. However, China’s economic growth over the past 30 years has posed a special paradox to many theorists: for some, it is a mysterious phenomenon that China could continue rapid growth for a few decades without proper contract law until 1999 and without constitutional private property rights until after 2004. For others, the lack of property rights explains the social unrests arising from land-taking and the potential risk of non-sustainability of further development. This does not mean that there is no property protection in China; both the Constitution and other relevant laws provide for property rights. However, it is the security of property rights that is questioned. Not only do individuals find themselves vulnerable when government agencies (the State) take their property, but also collective organizations in rural areas fail to resist expropriation requests from the State. According to the original text of Article 10 of the 1982 Constitution, “The state may in the public interest take over land for its use in accordance with the law. No organization or individual may expropriate, buy, sell or lease land, or unlawfully transfer land in other ways.” It was not until 2004 when the 20th and 22nd Amendment of the Constitution added compensation to the original clause.
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 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 | 0.000 | 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 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".