Federico Fellini’s effect in Argentine cinema: The case of Leonardo Favio
Bibliographic record
Abstract
A self-taught artist initially trained alongside Leopoldo Torre Nilsson, and considered today by both his country’s critics and his peers as one of the most important Argentinean directors, if not the most important, Leonardo Favio (1938–2012) often expressed his views on Italian cinema and Federico Fellini’s films without openly acknowledging their effect on his films. Despite this positioning, I intend to illustrate in this article how Favio’s cinematic universe has been traversed and shaped by Italian cinema, as by a red thread. More precisely, I aim to highlight how Favio, after incorporating several themes, characters and approaches of neorealist cinema in his only short and in his first film, included dialogues with Fellini’s cinematic universe in almost all his subsequent releases. The encounter with the cinema of Italian Maestro, without ever diminishing the originality and specificity of Favio’s films, turns them into a sort of resonance box for Fellinian echoes.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".