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Record W1989103477 · doi:10.1093/cdj/bsm027

Contradictions in hinterland development: challenging the local development ideal in Northern British Columbia

2007· article· en· W1989103477 on OpenAlexaffabout
Sean Markey, Greg Halseth, Don Manson

Bibliographic record

VenueCommunity Development Journal · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsUniversity of Northern British ColumbiaSimon Fraser University
Fundersnot available
KeywordsBoomRestructuringConstruct (python library)PoliticsLocal DevelopmentBustIdeal (ethics)Political scienceEconomic geographyEconomic restructuringGeographyRegional scienceEconomic growthPolitical economyEconomySociologyEconomicsEngineering

Abstract

fetched live from OpenAlex

Northern British Columbia, Canada, has undergone a considerable economic, social, and cultural transformation over recent decades. Specifically, economic and political restructuring processes have destabilized commitments to community infrastructure and exacerbated the variability of boom and bust patterns across the north. This paper, drawn from ongoing regional research, provides a critique of emerging arguments that advocate for greater levels of local control over northern development to address these development challenges. Our research reveals strong sentiments from northern people and agencies to construct ‘made in the north’ solutions. Findings illustrate, however, that the assumptions inherent within such calls for local and regional development require critical review.

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)0.005
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 score0.108
Threshold uncertainty score0.781

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0240.022
Scholarly communication0.0120.002
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.219
Teacher spread0.199 · 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

Citations10
Published2007
Admission routes2
Has abstractyes

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