Giallo Nostalgia: Appropriations of Giallo Aesthetics in Contemporary Cinema
Bibliographic record
Abstract
This article aims to engage with the ways in which contemporary global cinema looks back at the Italian giallo production of the 1970s through a series of remakes, homages and pastiches. What we define as retrogiallo differs from other examples of “retroexploitation,” where films such as Grindhouse (Rodriguez and Tarantino, 2007) and Hobo with a Shotgun (Eisener, 2011) address nostalgia for a specific kind of spectatorship, the grindhouse circuit, through conscious visual archaisms. Retrogialli present a more complex approach: instead of mimicking the imperfections of analogue indexicality, they fetishize the artisanal quality of filmmaking, displacing the stylistic features of the giallo in a highbrow context. Films such as Amer (Cattet and Forzani, 2009), The Strange Colour of Your Body’s Tears (Cattet and Forzani, 2013) and Berberian Sound Studio (Strickland, 2012) ultimately present a new opportunity to address the critical understanding of the giallo.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".