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Record W4318659828 · doi:10.4337/jlp.2022.02.01

Heckling and free speech

2022· article· en· W4318659828 on OpenAlexaff
Marc Ramsay

Bibliographic record

VenueJournal of Legal Philosophy · 2022
Typearticle
Languageen
FieldComputer Science
TopicHate Speech and Cyberbullying Detection
Canadian institutionsAcadia University
Fundersnot available
KeywordsFree speechPresentation (obstetrics)PoliticsFirst amendmentAccountabilityState (computer science)Expression (computer science)LawSociologyPolitical sciencePsychologyComputer scienceMedicine

Abstract

fetched live from OpenAlex

Heckling receives little attention in the vast literature on freedom of speech. But, in a recent contribution, Jeremy Waldron explores a positive case for the practice. Waldron asks us to see heckling as a spectrum of activities, some of which should be both protected and encouraged. In his view, a primary speaker’s right to speak is not a right to a perfectly tailored (or choreographed) presentation before a subdued audience. A great deal of heckling should be treated as legitimate counter speech, covered by audience members’ own expression rights. Waldron also sees heckling as making an important contribution to broader free speech values such as pursuit of truth and political accountability. I argue that the case for treating heckling as wrongful interference with the free speech rights of primary speakers and their willing listeners is much stronger than Waldron makes out. More boisterous forms of heckling should usually be restricted to presentations by political officials or state sponsored events. In other cases, heckling should be restricted to visual forms and displays that do not directly interfere with a primary speaker’s voice.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.010
GPT teacher head0.210
Teacher spread0.200 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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