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Record W3092929609 · doi:10.1017/s0008423920000888

Comparing Ambiguities: Municipalities, Francophone Minority Communities and Immigration in Canada

2021· article· en· W3092929609 on OpenAlexafffundabout
Aude-Claire Fourot

Bibliographic record

VenueCanadian Journal of Political Science · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsSimon Fraser University
FundersSimon Fraser University
KeywordsContext (archaeology)ImmigrationTransformative learningPolitical scienceFrenchCivil societyGovernment (linguistics)Public relationsCollaborative governanceCorporate governanceWork (physics)Public administrationPoliticsPower (physics)SociologyBusinessLawGeography

Abstract

fetched live from OpenAlex

Abstract This article analyzes the implication of municipal governments and civil society actors in immigration through multilevel and collaborative governance arrangements. It argues that studying the roles of ambiguities is critical to understanding the activism of political entities with ill-defined status and mandates, such as municipalities and francophone minority communities (FMCs). This research adds to the literature on the “local turn” by highlighting that ambiguities are both a condition—that is, a driver that makes collaborative and multilevel arrangements work—and an outcome of collaboration practices, characterized by ambiguities regarding the balance of power, the aims of collaboration in a competitive sector and conflicting forms of accountabilities. The article identifies three approaches that actors use to deal with these ambiguities in a context where resources are not equitably distributed and where the role of the federal government is critical. In this configuration, municipalities and FMCs develop adaptive, rather than transformative, approaches to ambiguities.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.876
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
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 head0.072
GPT teacher head0.343
Teacher spread0.271 · 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 designTheoretical or conceptual
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

Citations6
Published2021
Admission routes3
Has abstractyes

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