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Rural and Remote Municipalities as Practitioners and Intermediaries in Social Enterprise Development: A Case for Place Based Policy

2018· article· en· W2894670986 on OpenAlexaffvenue
Mary Beth Vogel Ferguson

Bibliographic record

VenueRural Review Ontario Rural Planning Development and Policy · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsIntermediarySocial enterpriseBusinessRural managementLeverage (statistics)Rural areaSocial capitalEconomic growthPsychological interventionGovernment (linguistics)Public relationsRural developmentMarketingPolitical scienceEconomicsAgricultureGeography

Abstract

fetched live from OpenAlex

Rural municipalities have a critical role to play as intermediaries in the social enterprise development field. This level of government is crucial in the development and maintenance of social enterprise activity in rural and remote contexts, because it is the most reflective of local conditions, concerns, values and histories. Most municipalities do not see or understand how they can leverage municipal and community assets through social enterprise development. There is very little research that supports rural municipalities’ decision-making on their current and potential role as practitioners and intermediaries in rural social enterprise development. This research highlights the effective practices currently in use, or practices that could be replicated to more effectively stimulate and support rural development of social enterprise. And so, this research documents social enterprise interventions as a local phenomenon, but also within an understanding specifically of rural policy, rural opportunities, and rural challenges.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.029
GPT teacher head0.314
Teacher spread0.285 · 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.

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

Citations0
Published2018
Admission routes2
Has abstractyes

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