Bibliographic record
Abstract
Cardinal Aron Jean-Marie Lustiger died at the age of 80 in 2007. Archbishop of Paris from 1981 to 2005, he was a towering and controversial public figure, both within the Catholic church and in European society more broadly. Since his death, he has remained a subject of intense interest. This essay will analyse two films about him – the 2012 documentary Aron Jean-Marie Lustiger (Jean-Yves Fischbach) and the 2013 fiction film Le Métis de Dieu (Ilan Duran Cohen) – as prisms through which the thought, policies and achievements of Lustiger can be examined and assessed. Primarily a charismatic man of faith, Lustiger was also widely engaged with the history of his times. It will be argued that his personal trajectory, frequently through his own direct agency, offers insight into several crucial layers of the cultural and political history of France, including the Occupation years; the Jewish question; the post-war recovery and decolonisation processes; Franco-German reconciliation; the restructuring of the universities; the chaotic socio-political movements around 1968; the development of the European Union; and the complex transformations of church life since the Second Vatican Council with the concomitant shifts in the relations between church and state.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".