Discreet Players: <scp>J</scp>ean <scp>M</scp>onnet, Transatlantic Networks and Policy‐Makers in International Co‐operation
Bibliographic record
Abstract
Abstract The origins of the first supranational E uropean community can be traced back to the bold and imaginative proposal drafted by J ean M onnet in early 1950. Yet his plan entered history under a different name: that of the statesman who offered his political backing – R obert S chuman. This article investigates the factors that made it possible for political leaders to accept this ground‐breaking idea. Furthermore, it investigates the source of M onnet's power and influence, which helped to persuade various leaders at different times. By adopting a transnational network approach, it concludes that policy‐makers' acceptance of the coal and steel plan was the result of M onnet's special method of persuasion, developed and refined over the years, and the activity of and pressure exerted by his close network of influential transatlantic friends.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".