« Nous avons le choix entre l’oubli et les urubus ». La cinéphilie télévisuelle de François Mauriac
Bibliographic record
Abstract
This article explores François Mauriac’s television cinephilia, as he authored nearly 200 “telechronicles” between 1959 and 1964, first for L’Express and later for Le Figaro littéraire. During an era when television was emerging as a mass medium, Mauriac, an Académie Française member and Nobel laureate, examined its influence on culture and society. His chronicles, oscillating between admiration and critique, analyzed television as an intermedial crossroads where cinema, literature, and current events converged. Through an unconventional cinephilia, he observed the evolution of cinema, from the silent era to the rise of television films, while addressing the aesthetic and moral challenges of televised adaptations. For Mauriac, television became a tool for rereading and transmitting works, a space where past and present engaged in dialogue. His telechronicles reflect a unique perspective on the ambivalence of television and its role in revealing cultural transformations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".