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Time to Move On

2023· article· en· W4367369341 on OpenAlexaffvenueabout
Justin Weir

Bibliographic record

VenueFederalism-E · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsMcGill University
Fundersnot available
KeywordsVotingPoliticsPolitical sciencePolitical economyRegionalism (politics)Polarization (electrochemistry)DemocracyFederalismSplit-ticket votingPublic administrationElectoral systemProportional representationLawSociology

Abstract

fetched live from OpenAlex

The reform of Canada’s federal electoral system was a key platform promise of the Liberal party throughout the 2015 election campaign. Justin Trudeau famously proclaimed that the 2015 federal election would be the last in Canada under a first-past-the-post (FPTP) system; but, as several years followed, there was no change, and discourse surrounding the issue has largely fizzled out (Small, 41). Canada’s FPTP system has not changed since confederation, and it remains among only four other democracies worldwide that use “this archaic electoral system” (Rebick). FPTP is considered to create two main issues in Canadian politics: distortion of votes, and heightened regionalism. Voting behaviour and outcomes are currently distorted through unequal vote weight, ‘wasted votes’, and the phenomenon of strategic voting. Regionalism leads to national division, skews which issues are considered electorally important, negatively alters party behaviour, and changes how political preferences are perceived in Canada. Together, these effects are disengaging the Canadian public from political participation. This paper will explain the ways in which vote distortion and regionalism plague Canada’s current electoral system and the health of its democracy, and demonstrate how a shift towards a mixed-member proportional representation (MMPR) electoral system can alleviate those issues. Specifically, MMPR’s provision of a broader second vote nullifies the effect of wasted votes and strategic voting, while discouraging political parties from engaging in behaviour that targets specific electoral regions and produces political polarization.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.415
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.042

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 head0.027
GPT teacher head0.314
Teacher spread0.287 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes3
Has abstractyes

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