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Record W3125966627 · doi:10.29173/alr280

Criminalizing Terrorist Babble: Canada's Dubious New Terrorist Speech Crime

2015· article· en· W3125966627 on OpenAlexaffabout
Craig Forcese, Kent Roach

Bibliographic record

VenueTSpace · 2015
Typearticle
Languageen
FieldComputer Science
TopicHate Speech and Cyberbullying Detection
Canadian institutionsUniversity of TorontoUniversity of Ottawa
Fundersnot available
KeywordsTerrorismRadicalizationCharterLawCriminal offenceCommissionGovernment (linguistics)Political scienceCriminologyThe InternetCriminal lawSociologyComputer science

Abstract

fetched live from OpenAlex

Before the introduction of Bill C-51, the Canadian government expressed interest in a terrorism "glorification" offence, responding to Internet materials regarded by officials as terrorist propaganda and as promoting "radicalization."Bill C-51 introduces a slightly less broad terrorism offence that applies to those who knowingly promote or advocate "terrorism offences in general" while knowing or being reckless as to whether terrorism offences "may be committed as a result of such communication."This article addresses the merits of these new speech-based terrorism offences.It includes analyses of: the sociological data concerning radicalization and "radicalization to violence"; existing offences that apply to speech associated with terrorism; comparative experience with glorification crimes; and the restraints that the Charter would place on any similar Canadian law.We conclude that a glorification offence would be ill-suited to Canada's social and legal environment and that even the slightly more restrained new advocacy offence is flawed.This is especially true for Charter purposes given the less restrictive alternative of applying existing terrorism and other criminal offences to hate speech and speech that incites, threatens, or facilitates terrorism.We are also concerned that the new speech offence could have counter-productive practical public safety effects.We favour that part of Bill C-51 that allows for court-ordered deletion of material on the Internet that was criminal before Bill C-51, namely material that counsels the commission of terrorism offences.However, Bill C-51's broader provision that allows for the deletion of material that "advocates or promotes the commission of terrorism offences in general" suffers the same flaws as its enactment of a new offence for communicating such statements.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.066
GPT teacher head0.326
Teacher spread0.260 · 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
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

Citations1
Published2015
Admission routes2
Has abstractyes

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