Food Consumption in Ferzan Ozpetek’s <i>Hamam</i> and Luca Guadagnino’s <i>Io sono l’amore</i>: A Gender Issue
Bibliographic record
Abstract
Within the wide range of scholarly works on food studies, the topic of food and cinema has gained increasing attention in recent years. This article contributes to the discussion offering a gender perspective in the analysis of Italian films. It examines cinematic representations of food consumption in Ferzan Ozpetek’s Hamam and Luca Guadagnino’s Io sono l’amore. Food consumption is a means of looking at self-identity and the relationship of the individual to the outside world. Eating implies taking part of the outside world inside, and as such it involves not only nutrition for the body but invests the subject with cultural meanings. As a result, the analysis of food consumption lends itself to an examination of cultural gender dynamics that influence representations. Through a gender reading of specific scenes, the article argues that in spite of the apparent representations of independent, successful female protagonists who dare to challenge social conventions, the films considered contribute to the reinforcement of traditional gender constructions. Claude Fischler’s and Pasi Falk’s theories of food consumption help to uncover how the sensory and aesthetic dimensions prevail in the representations of the women protagonists of the films analysed. The female protagonists’ relationship to the outside world remains an individual one, experienced at the sensory level, that cannot express the radical and collective transformations available to the male protagonists.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".