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Record W2061478554 · doi:10.1080/13563470600935016

The Struggle to Compete: From comparative to competitive advantage in Northern British Columbia

2006· article· en· W2061478554 on OpenAlexaffabout
Sean Markey, Greg Halseth, Don Manson

Bibliographic record

VenueInternational Planning Studies · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsUniversity of Northern British ColumbiaSimon Fraser University
Fundersnot available
KeywordsCompetitive advantageMetropolitan areaComparative advantageRelevance (law)PoliticsRecessionMeaning (existential)Political scienceEconomyEconomic geographyRegional scienceSociologyGeographyEconomicsManagementInternational tradeArchaeology

Abstract

fetched live from OpenAlex

The social, economic, and political landscape of northern British Columbia (BC), Canada, has undergone considerable transformation since a recession in the early 1980s. From this, there is an emerging recognition of the need to move from an economy based upon comparative advantage to one embracing competitive advantage. The purpose of this paper, drawn from ongoing regional research, is twofold. First, we apply a rural lens to the regional planning and development literature, which highlights the significance of competitive advantage as a tool for regional rejuvenation. Second, we add to this dialogue by exploring the relevance and meaning of competitive advantage in the non-metropolitan setting of northern BC.

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)0.002
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.489

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0150.010
Scholarly communication0.0100.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.283
Teacher spread0.262 · 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

Citations57
Published2006
Admission routes2
Has abstractyes

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