Centenario del partido: tendencias y sobresaltos durante 2021 en China
Bibliographic record
Abstract
The chapter on China and Hong Kong during 2021 covers only some aspects of what happened inside their borders or that affected them. The text’s focus is on the main event of the year: the 100th anniversary of the Chinese Communist Party (CCP). This occasion provided a platform for speeches and initiatives by China’s ruling political elite: hundreds of events celebrated the founding of the party and the liberation of Meng Wuanzhou in Canada, not to mention each of the speeches by Xi Jinping, president and general secretary of the CCP. The text also briefly describes the crisis of a real state giant and that of power generation —issues that are framed within the forecasts that were publicly presented about events that could have arisen. The article examines different aspects of China’s international relations with some countries in the Americas, including Canada, the United States, and Mexico, as well as some in South America including Brazil, Chile, and Ecuador. Given the current context, significant attention is paid to relations with Australia and the changes taking place in the region’s status quo. Demography is also a key topic of the text, which presents an analysis of the 2020 census whose results were released in 2021. Other areas under discussion include the world of labor, cinema, and politics in the fashion industry. In the case of Hong Kong, the consequences of the National Security Law and the approval of the reforms to the electoral law, as well as the economic proposals to put this special administrative region on a firm footing, are examined.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".