André Naud: From Vatican II to Simone Weil
Bibliographic record
Abstract
Abstract André Naud was a French‐Canadian Catholic theologian who served as a peritus or advisor to Cardinal Leger, the Archbishop of Montreal at the Second Vatican Council between 1962 and 1965. Naud’s entire theological career was informed by the teachings of the Council. This was the reason why during the Papacy of John Paul II after 1978 he became alarmed at the expansion and the distortion of the authority of the magisterium. Over the last fifteen years of his life, he wrote three remarkable books on this theme. In the last book (2002) entitled Les Dogmes et le Respect de l’Intelligence: Plaidoyer Inspiré par Simone Weil (The Dogmas and the Respect for Intelligence: An Argument Inspired by Simone Weil), he undertook an in‐depth analysis of Simone Weil, who had argued in the 1940s that Catholicism was in need of a philosophical cleaning up. This paper elaborates and explains the particular ways that Weil’s writings helped Naud to reformulate in the spirit of the Second Vatican Council the role of the magisterium with regard to dogmatic formulations, the manner of the reception of that teaching, the inspiration of scripture, the interpretation of miracles and the understanding of the Church itself.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.017 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| 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".