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«HATE SPEECH» IN INTERNATIONAL AND EUROPEAN LEGAL CONTEXT

2017· article· en· W2957349348 on OpenAlexaff
Maryna Medvedieva, E. Dibrivna, R. Kuharchuk

Bibliographic record

VenueACTUAL PROBLEMS OF INTERNATIONAL RELATIONS · 2017
Typearticle
Languageen
FieldComputer Science
TopicHate Speech and Cyberbullying Detection
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsDemocracyFreedom of expressionLawContext (archaeology)Political scienceExpression (computer science)Term (time)Foundation (evidence)Fundamental rightsHuman rightsFreedom of thoughtInternational lawLaw and economicsSociologyPoliticsComputer scienceHistory

Abstract

fetched live from OpenAlex

It is proved that the term hate speech used in international legal discourse does not have a generalized and precise definition. It is noted that when using the term «hate speech» there is a conflict between the right to freedom of expression and the prohibition of discrimination on any grounds. It is emphasized that the concept of «hate speech» in its current use contradicts the fundamental principle of the rule of law, because it represents a threat to the democratic foundation of society. The unconditional introduction of the concept of «hate speech» into the laws of European states may endanger the right to freedom of expression, freedom of religion and freedom of assembly, as it provides grounds for establishing unreasonable restrictions on the exercise of these rights and freedoms.

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)0.005
metaresearch head score (Gemma)0.011
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: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0030.012
Scholarly communication0.0090.005
Open science0.0000.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.252
Teacher spread0.235 · 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
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
Published2017
Admission routes1
Has abstractyes

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