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Record W4408953275 · doi:10.3138/uhr-2023-0027

The Slow Maturation of Local Democracy: The Evolution of Electoral Parameters at the Municipal Level in Quebec since 1855

2025· article· en· W4408953275 on OpenAlexaffvenueabout
Sandra Breux, Harold Bérubé

Bibliographic record

VenueUrban History Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsDemocracyPolitical scienceGeographyPolitical economyPublic administrationEconomic geographySociologyLawPolitics

Abstract

fetched live from OpenAlex

In Canada, the evolution of the right to vote, the nomination process, and the frequency and organization of elections have not been the same at the municipal, provincial and federal levels, even though they share the same political foundations. In Quebec, more specifically, there is a clear gap between practices at the municipal level and at higher levels of government. Among the municipalities, statutes have also shifted across time, differing especially between the mid- and late 19th century, and this remains the case today for Montreal and the other municipalities of the province. Not much research has been done on the historical evolution of these differences between the three levels of government, or between Montreal and the other municipalities. In this context, this article engages in an exploratory analysis of the legislation on the subject, including over 20 laws adopted since 1855. Our analysis shows that the democratization of local governance in Quebec has certainly been marked by substantial transformations since the mid-19th century, but also by significant divergences with the other levels of government, and between Montreal and other municipalities. More generally, this exploratory analysis sheds light on the way in which certain contemporary characteristics of the municipal scene, both in Montreal and within other municipalities of Quebec, reflect the weight of the past, allowing us to better grasp the current political dynamics at the local level.

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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.896
Threshold uncertainty score0.680

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.042
GPT teacher head0.298
Teacher spread0.256 · 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.

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

Citations0
Published2025
Admission routes3
Has abstractyes

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