From Nestoroff to Garbo: Pirandellian Humour in Its Cinematic Vernacular. 29
Bibliographic record
Abstract
A discussion of the 1932 Hollywood adaptation of Pirandello's 1930 play, Come tu mi vuoi, in the context of Miriam Hansen's analysis of Hollywood cinema as "vernacular modernism" allows us to explore the relationship between Pirandello's umorismo and mass culture. The coexistence of multiple identity constructs in the absence of one stable identity is at the core of umorismo and is vividly dramatized in the play's presumably amnesiac female protagonist. The film's humoristic dimension is found not so much in its explicit discourse on identity, which the film's happy ending largely tends to resolve, as in its peculiar reconstruction of the Greta Garbo star-image, lying in excess of the film's story and diegesis, which shares with Pirandello's humour the constellation of diverse and competing images as projected onto the figure of the female protagonist.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".