Bibliographic record
Abstract
Cet article se penche sur Viaggio in Italia (1954) de Roberto Rossellini. L’auteur montre que l’enjeu principal de ce film consiste à démonter et remonter, par un jeu subtil de réfractions et de mise en abîme, l’idée et la pratique de l’héritage, de la transmission d’une tradition (en passant par la tradition des voyages en Italie), et ce, à partir d’une rhétorique de l’écart et du faux-raccord, de la survivance, en creux, du passé dans les ruines du temps. Le sens de ce qui reste, alors, devient le sens d’une perte de sens du monde qui révèle dans sa complexité ce qui a été perdu. Si l’on peut parler de transmission et d’héritage ici, ce n’est qu’en relisant cette perte de sens comme ce dont on hérite et qui serait à redécouvrir continûment. C’est en ceci que Rossellini, avec ce film, pose les premières pierres d’un cinéma moderne qui tentera, depuis, d’en transmettre l’héritage.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".