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Record W2093321430 · doi:10.7202/042320ar

Les premières institutions municipales au Québec ou « machines à taxer »

2005· article· en· W2093321430 on OpenAlexaffvenueabout
Jacques L’Heureux

Bibliographic record

VenueLes Cahiers de droit · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGovernorOpposition (politics)AutonomyPublic administrationMunicipal councilPolitical sciencePower (physics)LawPoliticsEngineering

Abstract

fetched live from OpenAlex

The first general municipal institutions in Quebec were adopted by the Special Council in 1840 when Governor Sydenham found that the Act of Union did not make provision for them. These institutions included local corporations — parishes and townships — and regional corporations — the districts. Parishes and townships had very few powers. Districts had limited powers on local matters. All municipal corporations had little autonomy and were under the strict control of the Governor. Nevertheless, their creation was bound to lead to more important and more autonomous municipal institutions. French Canadians were opposed to these institutions, partly because they seemed to belong to the set of post-Rebellion measures such as the union of the two Canadas and the setting up of the Special Council, and partly because the new municipal corporations had the power to levy taxes. Their opposition succeeded in paralysing these institutions, which were replaced by new ones in 1845.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.059
Threshold uncertainty score0.427

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0140.003
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.001

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 head0.020
GPT teacher head0.268
Teacher spread0.248 · 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

Citations2
Published2005
Admission routes3
Has abstractyes

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Same venueLes Cahiers de droitSame topicCanadian Identity and HistoryFrench-language works237,207