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Record W310408248

Sustainable Development in Small Jurisdictions: The Cases of New Brunswick and Vermont

2008· article· en· W310408248 on OpenAlexaboutno aff
Hassan Arif

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsIndustrialisationTourismProsperityNatural resourceJurisdictionDevelopment economicsEconomicsEconomic growthEconomyPolitical scienceMarket economyLaw
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION Our world is in the midst of a crisis that is both economic and ecological. The 2008 collapse of the financial sector called into question many of the assumptions of neo-liberalism that had been dominant since the collapse of Keynesian economics in the 1970s. These assumptions included unlimited growth and unfettered markets. At the same time, the threat of global warming and resource depletion remains ever-present and questions the assumptions of unlimited growth. These two crises--the economic and the ecological--may potentially force policymakers to rethink traditional models of economic development that focused on industrialization and unlimited growth. This is especially true for smaller jurisdictions in North America which are characterized by rural areas and small communities where this rethinking of development happened well before the 2008 economic crisis. Such a jurisdiction is the Canadian province of Prince Edward Island (PEI), whose strategy for economic development has focused on non-manufacturing sectors such as tourism, biotech, and green energy sources such as windmills. Provincial leaders sought to preserve Prince Edward Island's identity as a province of small communities and pristine natural sights. They used this reputation to promote the Island as a tourist destination. This strategy has paid off not only in terms of preserving the province's natural beauty, but also economically. A Reuters story on March 30, 2009 noted that PEI was one of only four provinces that was projected by the Conference Board of Canada to grow over the course of 2009, despite the economic downturn. Another jurisdiction notable in this regard is the American state of Vermont, which supplies one focus of analysis in this paper. Vermont is a small jurisdiction of well under one million people, characterized by small communities, rural areas, and forests. The state has established an economic niche for itself by building on its natural advantages and by seeking to preserve its rural areas and forests rather than embarking on large-scale industrialization. Vermont has a thriving tourism industry and has become an attractive home for people from New York City and Boston who seek to escape the urban life (Smart Growth Vermont). In these respects, as smaller jurisdictions which built on natural advantages, Vermont and Prince Edward Island much in common. While the latter can serve as a useful reference point for the former, Prince Edward Island is not a primary focus of this paper. The Canadian province of New Brunswick, like Vermont, is a low-population jurisdiction characterized by picturesque natural sites, small communities, and rural areas. In the past, economic development schemes in New Brunswick (and in Atlantic Canada as a whole) sought industrialization and urbanization as their goals in order to catch up with traditionally have provinces such as Canada's industrial heartland of Ontario. In particular, analysts such as Donald Savoie cited New Brunswick's lack of large urban centers as a reason for its underdevelopment (2006, 32-35). However, we argue that policymakers should instead seek to capitalize and build on New Brunswick's unique advantages as a province of rural areas, small communities, and natural beauty, rather than try to emulate urban centers like Ontario. They should recognize that New Brunswick is not Ontario and gear economic development strategies with this in mind. Vermont is located in Northern New England which, like Atlantic Canada, is traditionally considered an underdeveloped or have-not region. Geographically and demographically, Vermont resembles New Brunswick in many respects. However, while New Brunswick's population growth has been sluggish and the province's unemployment remains above the national average, Vermont has been able to maintain steady population growth and an unemployment rate that is consistently below the United States average (Ewan and Condon 2009, 4-6). …

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)0.006
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 score0.937
Threshold uncertainty score0.459

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0310.010
Scholarly communication0.0080.003
Open science0.0030.010
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0090.000

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 head0.031
GPT teacher head0.263
Teacher spread0.232 · 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
Published2008
Admission routes1
Has abstractyes

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