MétaCan
Menu
Back to cohort
Record W4385312600 · doi:10.59962/9780774837101-007

Competing Anti-Censorships and Mixed Legal Outcomes

2019· book-chapter· en· W4385312600 on OpenAlexaboutno aff
Taryn Sirove

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMedia Influence and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Competing Anti-Censorships and Mixed Legal Outcomes Negotiations between media arts communities and state agencies, as well as negotiations among movement constituents, contributed to the struggle over definitions.The regulations in the Theatres Act and their enforcement by the Ontario Board of Censors (OCB) constrained media arts practices in very real ways, and interacting with such legal bureaucracies prompted artists and exhibitors to revise their views about the social and cultural legitimacy of their practices.As a result, the cultural practice of media arts can be seen as a product of law, and the legal rules governing this practice can be seen as a product of culture; "the meaning of each is bound up in the other and in the complex entanglement of law and culture." 1 Rather than merely a set of "negative prohibitions" or "positive laws, " legal processes interacted with articulations by cultural citizens in the disciplining of conduct and the normalization of ideas about what counted and did not count as legitimate forms of communication for the public domain.A key arena for the struggle over definitions and the rationality of cultural practices was the courts.This chapter focuses on a series of court battles that took different judicial paths.In these cases, the organizers of the 1981 Canadian Images Festival in Peterborough became defendants in a criminal trial after police laid charges under the Theatres Act for the first time since the first version of the Act's inception in 1911; members of the nonprofit Ontario Film and Video Appreciation Society administered the first set of constitutional challenges

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.894
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.030
GPT teacher head0.225
Teacher spread0.196 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of British Columbia Press eBooksSame topicMedia Influence and PoliticsFrench-language works237,207