Reviewing the Fourth Plenum: Governance and Morality in the Era of Xi Jinping
Bibliographic record
Abstract
Plenums are an opportunity for the Central Committee members to meet, and, of course, discuss a number of important issues pertaining to the state of the domestic economy, but also to national governance. As tensions are rising inside the Party-State apparatus – mainly the results of the aftermath of the anti-corruption campaign, the tenuous trade war or the chaos spreading in Hong Kong, all eyes were looking at Xi Jinping to announce the fourth plenum of the nineteenth Party Congress. The latter would come more than 600 days after the third plenum (February 2018), in the context of a tensed post-summer retreat at Beidaihe. The fourth plenum expressed tensions in the top leadership structure, but also highlighted some confusion and uncertainties as to what the Party plans to do to remedy the economic slowdown, to solve the ongoing Hong Kong crisis, and to untangle the trade talks with the United States – talks that only recently reached a tentative agreement. As such, this article reviews and focuses on the conclusions of the fourth plenum of the Central Committee of the Chinese Communist Party.
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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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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".