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Record W2509932884

Implementing Electoral Reform: Specific Issues with Regard to Forming and Maintaining a Responsible and Legitimate Government in Our Parliamentary Democracy

2016· article· en· W2509932884 on OpenAlexaffabout
Hugo Cyr

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsLegislatureDemocracyLegitimacyPolitical sciencePoliticsPublic administrationProportional representationMulti-party systemElectoral systemGovernment (linguistics)Representation (politics)Election lawElectoral reformPolitical systemCoalition governmentPolitical economyLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Special committee on Electoral Reform is mandated to study electoral reforms in order to replace the current first-past-the-post system with another that would increase public confidence among Canadians that their democratic will, as expressed by their votes, will be fairly translated and that the proposed measure reduces distortion and strengthens the link between voter intention and the election of representatives.The new electoral system that will emerge from this reform process could result in more frequent minority or even coalition governments. A number of individuals have expressed the concern that this could encourage more frequent general elections and lead to political instability. However, recent developments in Scotland and Wales show that it is possible to modernize and streamline our parliamentary system while maintaining its intrinsic traditions and political stability. The legislatures of Scotland and Wales both elect members through a form of mixed-member proportional representation (known as the additional member system). While they have had minority and coalition governments, these two legislatures have not had to hold elections more often than every four or five years.The parliamentary system possesses a number of simple and proven legal measures to stabilize minority and coalition governments. Drawing from measures implemented by the United Kingdom (and several other jurisdictions), I suggest some minor modifications that could be made to our procedures to ensure the stability and political legitimacy of the governments formed following the anticipated electoral reforms.

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)0.050
metaresearch head score (Gemma)0.074
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 score0.122
Threshold uncertainty score0.265

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0500.074
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0130.022
Scholarly communication0.0200.010
Open science0.0040.007
Research integrity0.0110.010
Insufficient payload (model declined to judge)0.0040.001

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 head0.013
GPT teacher head0.294
Teacher spread0.281 · 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

Citations0
Published2016
Admission routes2
Has abstractyes

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