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Record W3035031143 · doi:10.1111/plar.12342

Through the Looking Glass: Televised Politics in Contemporary Populist Italy

2020· article· en· W3035031143 on OpenAlexaff
Salvatore Giusto

Bibliographic record

VenuePoLAR Political and Legal Anthropology Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsUniversity of Toronto
FundersWenner-Gren Foundation
KeywordsPoliticsSubalternPopulismPolitical economyState (computer science)HegemonySociologyContext (archaeology)Political scienceCivil societyMediationPower (physics)SovereigntySocial scienceLawHistory

Abstract

fetched live from OpenAlex

Abstract This article evaluates the role of political mediation played by national and local television networks within the social peripheries of Naples, Southern Italy. In the context of contemporary Italian populism, the management of this medium by simultaneously public and private —as well as formal and informal— power‐holders, such as the neoliberal state and the Camorra (a powerful criminal organization) have increasingly replaced civil society's historical role of mediation between centers and peripheries. The direct participation of the subaltern in the production and circulation of explicitly populist televised content is now strongly promoted and yet informally monitored by the Italian state authorities. The regimes of media production and social representation emerging from these mediatic processes have not triggered crises of cultural hegemony—exercised by the Italian neoliberal “establishment” over the lower classes—but instead furthered the sovereignty of the state and amplified its ability to arouse the political imaginary of both its most marginalized citizens and “middle‐class” cultural operators. Simultaneously, however, these regimes have also spawned new modes of socioeconomic mobility and forms of “political society,” which reproduce the mediacratic features of Italian state power among a plethora of local informal agencies, including ostensible “public enemies” such as the Camorra.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.080
GPT teacher head0.378
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2020
Admission routes1
Has abstractyes

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