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Record W4252044959 · doi:10.22215/etd/2015-10861

The Demise of Section 13 of the Canadian Human Rights Act: Reappraising the 'Battle for Free Speech'

2015· dissertation· en· W4252044959 on OpenAlexaffabout
Dax D’Orazio

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldComputer Science
TopicHate Speech and Cyberbullying Detection
Canadian institutionsCarleton University
Fundersnot available
KeywordsDemiseRepealIdeologyBattleLiberalismMainstreamPolitical scienceSection (typography)Free speechHuman rightsLawDemocracyHistoryPoliticsAdvertising

Abstract

fetched live from OpenAlex

In 2013, Bill C-304 repealed Section 13 (s.13) of the Canadian Human Rights Act.Although the law used broad language, it had not garnered much attention until a concerted campaign sought its repeal.This thesis argues that the key to understanding s. 13's demise is the way in which the hate speech backlash exploited the growing ideological belief that Islam is antagonistic to, if not incompatible with, democracy.This is evidenced by the fringe bloggers that coalesced around a conspiratorial theory of 'Eurabia' to turn s. 13 into a national debate.Yet, the debate changed significantly once in the mainstream to reflect a concern for free speech based upon manufactured and negative perceptions of Muslim hate speech complainants.Consensus among major Canadian newspapers is an indication of how Canadian identity was (re)constructed as essentially Western and against Muslim Others who were seen as parasitic upon the tolerant excesses of liberalism. INTRODUCTION: REASSESSING THE 'BATTLE FOR FREE SPEECH'On June 26 th , 2013, Conservative MP Brian Storseth's Private Member's Bill C-304 repealed Section 13 (s.13) of the Canadian Human Rights Act (CHRA), the seemingly controversial piece of legislation that had attracted heightened public scrutiny in recent years.Section 13 was part of Canada's non-penal human rights code that sought to curb the expression of hatred via telecommunications, and, although it used broad language -for example, to proscribe communication that was 'likely to expose a person or persons to hatred or contempt' -the law had not garnered much attention until a concerted campaign sought its repeal.This backlash arguably began in 2006, when two conservative Canadian pundits, Ezra Levant and Mark Steyn, published material that was allegedly Islamophobic.The former republished the infamous Danish cartoons of the Prophet Muhammad 1 in the Western Standard and the latter had excerpts of his book America Alone (which problematizes the birth rates of Muslims in the developed world) published in the pages of Maclean's magazine.Both Maclean's (Rogers Publishing) and Levant were then the subjects of formal human rights complaints. 2 Both cases became 1 Originally published by the Danish newspaper Jyllands-Posten in September of 2005, the cartoons mockingly portrayed Muhammad in an attempt to critique the alleged insulation of Islam from public criticism.Aniconic thought is present in many Muslim traditions and thus the visual depiction of the Prophet Muhammad was seen as an affront.The incident led to riots in many Muslim majority countries and was considered an example of growing antagonism between the 'West' and 'Islam'.For a detailed treatment, see: Klausen, Jytte.

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)0.008
metaresearch head score (Gemma)0.017
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: Other · Consensus signal: Other
Teacher disagreement score0.065
Threshold uncertainty score0.475

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0230.023
Scholarly communication0.0110.003
Open science0.0010.003
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0050.001

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 head0.017
GPT teacher head0.271
Teacher spread0.255 · 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
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
Published2015
Admission routes2
Has abstractyes

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