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Record W229036864

Electronic petitions: a proposal to enhance democratic participation

2013· article· en· W229036864 on OpenAlexvenueaboutno aff
Kennedy Stewart, Andrew Cuddy, Michelle Silongan

Bibliographic record

VenueCanadian parliamentary review · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicFreedom of Expression and Defamation
Canadian institutionsnot available
Fundersnot available
KeywordsParliamentHouse of CommonsCommonsDemocracyCitizen journalismOpposition (politics)Public administrationPoliticsPolitical scienceParticipatory democracyDemocratic systemLaw
DOInot available

Abstract

fetched live from OpenAlex

Declining rates of political participation demand practical reforms to enhance citizen engagement in our democratic institutions. Tabled in the House of Commons on February 13, 2013, Motion 428 aims to modernize and improve Canada�s antiquated paper-based petitioning process by establishing a system for electronic petitions. It further proposes allowing petitions to trigger short debates in Parliament if they receive a certain threshold of signatures from the public and are sponsored by at least five Members of Parliament. After providing comparative information on similar reforms implemented in other jurisdictions, this article argues that empowering citizens to initiate and sign petitions online will make our democracy more accessible, participatory, and responsive. It concludes with a brief discussion of the prospects of success for a motion submitted by an opposition Member during a period of majority government.

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)0.042
metaresearch head score (Gemma)0.068
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 score0.971
Threshold uncertainty score0.930

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.068
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0050.010
Scholarly communication0.0080.006
Open science0.0040.005
Research integrity0.0100.006
Insufficient payload (model declined to judge)0.0120.002

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 head0.014
GPT teacher head0.333
Teacher spread0.318 · 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

Citations8
Published2013
Admission routes2
Has abstractyes

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Same venueCanadian parliamentary reviewSame topicFreedom of Expression and DefamationFrench-language works237,207