Ferzan Ozpetek’s <i>Mine vaganti</i> (2010): Wandering Between “the Comic” and “Humor”
Bibliographic record
Abstract
A powerful expression of Ferzan Ozpetek’s narratives of displacement, Mine vaganti (2010) represents an open-ended journey of multiple characters and their tentative pursuit of happiness through the transformative power of “humor.” More specifically, the inherent potential for change that defines this quest emerges from an oscillation between “il comico” and “l’umorismo” in light of modernist theories of humor, as they are articulated in Luigi Pirandello’s and Henri Bergson’s seminal essays, Saggio sull’umorismo (1908) and Le rire (1900). While following an auteurist perspective, this analysis focuses on the significance of the film script, coauthored by Ozpetek and Ivan Cotroneo. Moreover, it highlights the role that other elements of film form, such as sound, editing, cinematography, and mise en scène play in tracing the emergence of an “etica dell’estetica” (Zagarrio 2012). Mine vaganti’s aesthetic poignantly renders Zygmunt Bauman’s concept of “liquid modernity” (2005) and advocates for a community in which identity is a liminal, fluid, and ever evolving creative endeavor that brings to the foreground marginalized agents of social and political change, in this case the homosexual and the elderly.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".