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Record W4284964972 · doi:10.1080/00344893.2022.2091013

Assembly Size and Electoral Distortion in an SMP System

2022· article· en· W4284964972 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRepresentation · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsRepresentativeness heuristicDistortion (music)AccountabilityPolitical scienceIdeal (ethics)Strengths and weaknessesGovernment (linguistics)Promotion (chess)PoliticsMeasure (data warehouse)Index (typography)Public administrationComputer scienceStatisticsPsychologyMathematicsSocial psychologyLawTelecommunicationsData mining

Abstract

fetched live from OpenAlex

There is a vast literature in political science concerning the strengths and weaknesses of single member plurality (SMP) electoral systems. Some argue that PR systems are superior because they ensure better representativeness by reducing the distortion between votes received by a party and its seat share. Others say that the benefits of SMP in terms of accountability make the price of electoral distortion bearable. But what if there would be incremental institutional changes that could maintain the benefits derived from SMP elections and still reduce the distortion it causes? In this paper, we make use of an innovative research design to measure the impact of assembly size on seat disproportionality as measured by the Gallagher Index. We make use of Canada as an ideal case. In this country, federal and provincial elections occur at regular intervals, and the numbers of seats at play vary substantially between levels of government within a province. We find that increasing assembly size is associated with reduced disproportionality in a negative logarithmic fashion, making it an especially useful institutional tool to reduce distortion in smaller assemblies. We argue this research brings a new light on an ongoing debate about SMP systems.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.969

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)0.0000.000

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 head0.057
GPT teacher head0.394
Teacher spread0.337 · 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