Working the Political Field in Stormy Weather: A Mayor's Role in the Quebec Municipal Mergers
Bibliographic record
Abstract
Abstract.Canadian political science often neglects the municipal level as a legitimate research subject, even when large-scale transformations are implemented, such as the 2001 territorial reorganization in Quebec. This paper shows how mayors were involved in municipal mergers, mainly led by the provincial government, and especially how they played different roles in order to ensure their legitimacy as leaders of their communities. Specifically, the creation of the City of Saguenay has been studied through an examination of the activities, strategies and discourses of the mayors of this agglomeration in order to highlight normal and extraordinary levels of action. In doing so, this article contributes new knowledge of the mayors' own conceptions of their duties and roles and also of the rescaling process. Résumé.Le palier municipal attire peu d'attention en science politique canadienne, même lorsque surviennent des réformes substantielles comme la réorganisation territoriale municipale entreprise au Québec en 2001. L'article montre comment les maires ont tenté de s'approprier la mise en œuvre de ces fusions municipales organisées surtout par le gouvernement provincial, en insistant sur les rôles divers qu'ils ont joués pour assurer leur légitimité en tant que chefs de leur communauté. L'étude de la création de la Ville de Saguenay a permis d'examiner de plus près les activités, les stratégies et les discours des maires de cette agglomération et de mettre en lumière leurs registres d'action ordinaires et extraordinaires. L'article jette ainsi un éclairage nouveau sur les perceptions qu'ont les maires de leur rôle et de leurs responsabilités et sur les effets politiques de la réorganisation municipale.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.032 | 0.018 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".