Policing the Imperial Nation: Sovereignty, International Law, and the Civilizing Mission in Late Qing China
Bibliographic record
Abstract
On 15 August 1902, a battalion of Chinese police officers under the command of Superintendent Zhao Bingjun marched into city center of Tianjin and toward the Yamen Complex, the ceremonial site where the Eight Power Alliance was handing back the city to Governor General Yuan Shikai after two years of occupation following the Boxer Uprising. As they approached the complex, allied officials and commanders, standing with Yuan Shikai and his entourage under a “Friendship Forever” banner, were shocked and dismayed. As one of the preconditions for its resumption of the control of the city, the Qing government had agreed to the allied demand that its troops would not enter the vicinity of Tianjin, and some allied officials had even thought that Yuan would be compelled to beg the allied forces to stay and continue to maintain law and order. Yuan Shikai's sudden show of forces was a slap in their faces and potentially a violation of an international agreement. “What is the meaning of this?” asked an allied representative with raised voice. “Look carefully. These are not troops,” Yuan replied with a smirk, “They are policemen.” Not knowing what to do, allied officials pointed fingers at each other, blaming the stupidity of those who had designed the agreement. “It is not we who are stupid,” one said, “It is Yuan Shikai who is so cunning.”
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.019 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".