MétaCan
Menu
← Back to cohort
Record W3214995020 · doi:10.32920/ryerson.14643975.v1

A cut above: the end (and ends) of film censorship

2021· preprint· en· W3214995020 on OpenAlexafffundabout
Daniel Sacco

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsToronto Metropolitan UniversityYork University
FundersYork UniversityBrandeis University
KeywordsCensorshipGovernment (linguistics)LawPolitical scienceSociologyMedia studiesAdvertisingLaw and economicsBusiness

Abstract

fetched live from OpenAlex

By the beginning of the twenty-first century in the West, the notion of government-appointed bodies mandated for censoring cinematic content had fallen considerably out of fashion as institutional censorship was largely curtailed. Barring widely shared concerns regarding the exposure of underage children to material deemed inappropriate, newly rebranded “classification” boards have acted to limit the extent to which they themselves can prohibit images from entering the public market, shifting their emphasis away from censorship and toward consumer edification and greater consideration of artistic merit and authorial intent. Such reform brought the policies of censorship boards in Britain, Canada, and Australia into closer alignment with the goals and processes of the Motion Picture Association of America’s ratings system. Can we then assume that cinematic censorship is effectively a thing of the past? Does the impetus to regulate and police film content continue silently to exist? Analysis of controversies surrounding particular films throughout and in the wake of this shift suggests that, while no longer practiced explicitly by governmental institutions, film censorship continues to operate through less immediately recognizable forms of cultural marginalization and restraint. Classification status drastically affects the number of platforms through which a film can be accessed and thus works, as censorship does, to restrict films from audiences. When market demands place external restraints upon film content, familiar processes of cinematic censorship can be reframed as operating within (as opposed to upon) the institutional structures and practices of cultural production. This two-part study will examine, first, the process by which certain postmillennial cinematic artworks, such as Catherine Breillat’s Fat Girl (2001) and Gaspar Noé’s Irreversible (2002), spurred reform in the policies of classification boards by highlighting the rigidity of classification criteria and, secondly, cases in which, following the shift from moral to covert censorship, artistically serious films such as Vincent Gallo’s The Brown Bunny (2003) and Abel Ferrara’s Welcome to New York (2014) have been suppressed or constrained for their challenging subject matter, most notably for their aggressive presentation of sexuality. The main objective will be determining: 1) how the shift from censorship to classification corresponded to the aesthetic strategies of a handful of boundary-pushing films; and 2) how cinematic censorship, in the absence of traditional institutional enforcement, continues to operate in the interactions between alternative networks of disciplinary power and discursive practice.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.028
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0100.043
Scholarly communication0.0320.045
Open science0.0010.009
Research integrity0.0050.015
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.046
GPT teacher head0.234
Teacher spread0.188 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2021
Admission routes3
Has abstractyes

Explore more

Same topicCinema and Media Studies→French-language works237,207→