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Record W4411868161 · doi:10.1080/15575330.2025.2525802

Reluctant entrepreneurs or embracing marketization: The governance of municipal entrepreneurialism for community development in rural Canada

2025· article· en· W4411868161 on OpenAlexafffundabout
Sean Markey, Laura Ryser, Greg Halseth, Martin Mateus, Joshua Barrett, Lars Hällström, Kelly Vodden, Ryan Gibson

Bibliographic record

VenueCommunity Development · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsMemorial University of NewfoundlandUniversity of LethbridgeUniversity of GuelphUniversity of Northern British ColumbiaSimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMarketizationCorporate governanceBusinessCommunity developmentEconomic growthPublic administrationPolitical scienceChinaEconomicsFinance

Abstract

fetched live from OpenAlex

Rural communities in many OECD countries have experienced political and economic restructuring pressures from neoliberal public policies and New Public Management since the 1980s. To navigate these challenges, rural local governments in Canada are developing municipal enterprises to expand revenues and address service and infrastructure pressures. This paper reports on research from four Canadian provinces investigating the challenge of municipal entrepreneurialism for the implementation and governance of community development in rural Canada. Findings reveal strains on local capacity and the potential loss of control over municipal enterprises due to tensions between the municipality’s strategic planning and community development goals versus the strategic goals pursued by the board of directors representing the municipal enterprise. Rural communities also face fiscal and staff capacity limitations that hinder the development and operation of municipal enterprises. Such capacity pressures are exacerbated by the absence of a clear regulatory environment to guide the operations of municipal enterprises.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.928
Threshold uncertainty score0.522

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.009
Scholarly communication0.0080.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.045
GPT teacher head0.256
Teacher spread0.211 · 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 designQualitative
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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