MétaCan
Menu
Back to cohort
Record W2038241675 · doi:10.1163/15718110020907936

Canadians Discuss Freedom of Speech: Individual Rights Versus Group Protection

2000· article· en· W2038241675 on OpenAlexaffabout
Howard-Hassmann

Bibliographic record

VenueInternational Journal on Minority and Group Rights · 2000
Typearticle
Languageen
FieldComputer Science
TopicHate Speech and Cyberbullying Detection
Canadian institutionsMcMaster University
Fundersnot available
KeywordsHarmony (color)Free speechMulticulturalismGovernment (linguistics)Value (mathematics)LawPolitical scienceSociologyLinguistics

Abstract

fetched live from OpenAlex

Abstract Freedom of speech as an individual right is often thought to interfere with the collective rights of vulnerable groups to protection against threats of violence and demeaning group insults. This study analyzes interviews with 78 Canadian civic leaders that probed their views on this possible rights conflict. For most respondents, freedom of speech is not a core value, but one that must be reconciled with equality, nondiscrimination, and multiculturalism. Most of these Canadians will tolerate some restrictions on freedom of speech, believing such restrictions will promote community harmony and respect for all groups in society. These Canadians hold to a communitarian view of rights, and trust their government to curb free speech rights to protect vulnerable groups. However, ’new’ free speech issues, involving conflicts among members of different vulnerable groups, may point to the need to reinforce individual freedom of speech.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.251

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0200.011
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.000

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 head0.015
GPT teacher head0.232
Teacher spread0.217 · 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 designQualitative
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

Citations8
Published2000
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal on Minority and Group RightsSame topicHate Speech and Cyberbullying DetectionFrench-language works237,207