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Record W3216934480 · doi:10.3389/fpos.2021.743252

Campaigning in Quebec Municipal Elections: When the Party Defines Door to Door Canvassing as “The Right Way” to Campaign

2021· article· en· W3216934480 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

VenueFrontiers in Political Science · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPoliticsContext (archaeology)SituatedPolitical scienceWork (physics)Subject (documents)SociologyPublic relationsPublic administrationPolitical economyLawEngineeringComputer science

Abstract

fetched live from OpenAlex

Electoral campaigns are one of the key moments in political life. Yet, there is little Canadian work on this subject when it comes to municipal elections. However, the international literature on campaigning provides an opportunity for useful questions on the transformations of this aspect of local political life by bringing together political sociology and electoral sociology. That being said in this context, we present the results of an exploratory case study of campaigning in a municipal political party in a Canadian city, more specifically situated in the Province of Quebec. Municipal political parties are usually considered as electoral machines. It is therefore important to study in detail the way these organizations conduct election campaigns. More specifically, we are looking to explore how municipal political parties influence the campaign by providing electoral techniques. To achieve this, we closely examine the door to door canvassing strategy, which hints at what the party considers a “good campaigning” standard and helps us observe the behaviours of candidates and the different ways they fulfill the party’s requirements. It is therefore not a question of measuring the effectiveness of partisan electoral devices but of understanding how the party produces campaigning norms and puts them to work. The results presented here offer an original insight into the internal workings of a municipal political party—something that has never before been documented in the Canadian context. First, they help to open the black box that is municipal political parties and to better understand their internal modus operandi. Second, the results illustrate that election campaigning is still fundamentally based on one-on-one encounters.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0030.002
Scholarly communication0.0010.000
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 head0.013
GPT teacher head0.270
Teacher spread0.257 · 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