Bibliographic record
Abstract
The politician and the artist each have defects. For the sake of successfully attacking the enemy, uniting with friendly armies and strengthening himself, the politician must be worldly wise, have an excellent command of cunning methods and be good at dealing with both enemies and friends. His defects come from just these merits. When these skills are used in revolutionary tasks, they become the most beautiful and glorious “arts of revolution.” But apart from the truly great politician, none can avoid some desire to use these skills for their own reputation, position, and profit and thus to harm the revolution. Wang Shiwei, “Politicians, Artists” (1942) The portrait of Mao Zedong prominently on display at the Gate of Heavenly Peace in Beijing ranges among the best-known icons of power around the globe. With the possible exception of Che Guevara, no other communist leader's image has served in similar fashion as a screen for revolutionary projections to both a domestic and international audience. During the late 1960s, Mao portraits and other items of the Chairman's bourgeoning cult, such as the Little Red Book and badges, were not only championed by Red Guards in China but became fashionable among Western students as well. Even communal living styles modeled on the canon of texts published under the name of Mao Zedong spread on U.S. and European campuses.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".