<i>Dalla Vostra Parte</i>: populist irony, illiberal ventriloquism, and the rise of the Non Buono refugee in contemporary Italy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Alongside the highly mediatized life of recent Italian politics, populism as a mode of social expression has permeated Italian public discourse since the mid-1990s. This trend has become even more apparent in the aftermath of the so-called Mediterranean refugee crisis in the 2010s. Since then, the Italian popular classes’ increasing engagement with online social media has contributed to the electoral success of anti-immigration leaders and Facebook celebrities like Lega Nord party secretary Matteo Salvini. Simultaneously, controversial black Italian YouTubers like the artist Bello FiGo have also found commercial success, due to their own populist and ironic engagement with Italian immigration policies. This article explores how ideologically divergent media operators such as Salvini and Bello FiGo co-participate in ironic, future-oriented media performances of anti-refugee discourses that make possible different modes of displaced alterity. As we will demonstrate ethnographically, these performances allow for forms of cultural intimacy between these media operators and their publics by means of populist irony, while engendering opposite (though structurally similar) dynamics of illiberal ventriloquism. In doing so, these controversial, future-oriented performances tend to subvert institutionalized liberal narratives of crisis and systemic displacement and put into question Italian immigration policies.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it