Bibliographic record
Abstract
For a long time, America and Britain have been keeping a kind of special relations. Britain has always been the follower of America in many international issues, and paced with America accordingly. When 9.11 Event broke out, Britain still was the first one who wanted to cooperate with America to fight against terrorism. In the process of European integration, Britain was relatively isolated, known as “Europe’s orphan”. Strengthening the special relations with the United States, can not only enhance the status of the United Kingdom in Europe, but also can enhance Britain's standing in international affairs. Therefore, Britain seized the very opportunity to maintain consistency with the United States.However, there were some serious conflicts of interest between Britain and the United States in other parts of the world. It seemed that there are no so-called special relations between them. From time to time, the United States was dragged on the British interest edge, mainly because Britain wanted the United States to bear some responsibilities for it, while Britain did not want itself to be the most powerful country as to bear the responsibility of maintaining the present situation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.004 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.027 | 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".