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Record W2473087982

Has Public Protest Gone to the Dogs? A Social Rights Approach to Social Protest Law in Canada

2013· article· en· W2473087982 on OpenAlexaffabout
Graham Mayeda

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPolitical scienceDeliberationSocial orderSocial rightsLawSocial changeInternational human rights lawSocial philosophyLaw and economicsHuman rightsSociology
DOInot available

Abstract

fetched live from OpenAlex

The social rights approach to resolving social conflict can be applied to develop a progressive legal framework for dealing with social protest. A social rights approach, when contrasted against the traditional approach to rights, takes a broader perspective of rights, social conflicts, and the role of rights as a condition for a deliberative form of democracy and social justice. The paper explores how these different paradigms frame social protest. Next, it develops a legal framework for the social rights model of social protest. Charter analysis and the rules of civil law could be changed to channel public protest into the broader process of public deliberation that involves both law-makers and courts. A social rights approach to resolving social conflict advocates legal rules that encourage democratic deliberation and inclusive access to social protest as a means to test the legitimacy of the existing order. A social rights approach to law recognizes the transformative role of public protest in a democratic state. The approach must acknowledge and facilitate the claims made by the public against our social order.

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)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.254
Threshold uncertainty score0.866

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0310.015
Scholarly communication0.0130.004
Open science0.0020.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0090.000

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 head0.025
GPT teacher head0.252
Teacher spread0.227 · 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 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

Citations1
Published2013
Admission routes2
Has abstractyes

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