I Could have been a Contender: A Semiotic Analysis of Representative Films on Italians Outside Italy
Bibliographic record
Abstract
This thesis offers an in-depth analysis of five films (Pane e cioccolata, Queen of Hearts, L’Emmerdeur, Mediterraneo sempre, Raging Bull) which deal with the Italian reality outside of Italy. The segment-by-segment study of these works reveals overlapping themes that define parameters that can be used to define a deterritorialized culture which the author of this study names the Italic culture. The analytical system produced can help scholars and students to understand what constitutes the filmic narrative of ethnic films. The title of the thesis derives from a monologue spoken by Jake LaMotta in Raging Bull by Martin Scorsese, which is a paraphrase of another monologue said by Terry Malloy in On the Waterfront by Elia Kazan. Though the words of the speeches are similar, their meaning is different. What for Malloy was a need for success becomes for LaMotta a criticism of this success. Presented at once as a study of forms and a survey of cultural connotations, this investigation proposes a journey into the representative world created by immigrants and children of immigrants who, by refusing to disappear into sameness, question what it means to be Italian in the world today.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".