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Record W2250160497

Bringing Municipalities into Rural Community and Economic Development: Cases from Atlantic Canada

2014· article· en· W2250160497 on OpenAlexaffabout
Tamara Krawchenko

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsEconomic growthParticipatory developmentGeneral partnershipCommunity developmentSubsidiaritySubsidyRural areaRural developmentRural community developmentCitizen journalismPolitical scienceAgricultureBusinessEconomicsGeographyEuropean unionEconomic policy
DOInot available

Abstract

fetched live from OpenAlex

In rural development literature, subsidiarity and the merits of local community participation are increasingly extolled. Targeted, nationally-derived sectoral (e.g., agricultural) policies and subsidies are increasingly rejected for a more inclusive, place-based, partnership-driven, community-led, and investment-oriented approach to rural development. This shift can be seen across OECD countries and has been lauded by the organization as ‘a new paradigm for rural development.’ As such, rural development is conceptualized as a process that emanates from the local level, involving a variety of stakeholders in decision making, such that policy development is viewed as more participatory, reflective of and responsive to community needs. Given this, what role (and capacity) might there be for municipalities to meaningfully engage in rural development activities? This paper examines this question through a case study of two rural Atlantic Canadian communities. In doing so, it finds that these two rural municipalities are institutionally constrained from engaging in rural development initiatives and that provincial and federal funders are focused on economic, rather than community, development. It is argued that municipal capacity needs to be greatly enhanced through institutionalized mechanisms in order for them to become meaningful partners in the development process.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.021
GPT teacher head0.223
Teacher spread0.202 · 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 designObservational
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

Citations5
Published2014
Admission routes2
Has abstractyes

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