The Making of European Law: Exploring the Life and Work of Michel Gaudet
Bibliographic record
Abstract
This article studies the emergence of European law by exploring the life and career of Michel Gaudet, a French jurist who, behind the scene and out of the political spotlight, played a central role in fostering the European legal order in the 1950s and 1960s. As director at the legal service of the European Communities executives, Gaudet significantly contributed to the legal revolution that quasi-constitutionalized the European Treaties in the mid-1960s. Yet, he remains one of the least known figures of the early history of the European integration. Relying on his rich personal archives and on interviews with members of his family, this article investigates his personal and professional life experiences, with the aim of understanding how these experiences shaped his ideas, and influenced his thinking and actions in the legal field. This allows us to better understand the background and ideological outlook of one of the most influential figures behind the making of the European legal order, and consequently the intellectual roots of this legal transformation of Europe. It also affords us a unique glimpse into the social and intellectual world of the first generation of civil servants who shaped the new European institutions in the 1950s and 1960s.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.035 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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".