TRAVELING AND POLITICAL THEORY: JEAN MONNET AND HIS CANADIAN INSPIRATION FOR SUPRANATIONAL EUROPEAN UNITY
Bibliographic record
Abstract
Jean Monnet is often regarded as the founding father of the European Union (EU), and his achievements and life have been subject to much attention. However, this paper fills a significant gap in the established literature. It is well-known that Monnet had a special relationship with North America and its people throughout his career. While his links with the United States have been well covered, this paper provides a first systematic account of Jean Monnet’s early encounters with Canada and Canadians. Monnet’s own recollections from these meetings are rich in theoretical code, and the paper argues that parts of the inspiration for what can be referred to as “Monnet’s theory ” of supranational unity was formed in Canada, where he saw the future of Europe. The paper relies on a wide range of sources, including unpublished documents, correspondence and historical data extracted from the archives maintained at the Jean Monnet
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.039 | 0.043 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".