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Record W207606621

The human gateway: economic development planning, geographic knowledge, and British Columbia's Asia Pacific Initiative

2011· dissertation· en· W207606621 on OpenAlexfundaboutno aff
Annamarie Ruelle

Bibliographic record

VenueSummit (Simon Fraser University) · 2011
Typedissertation
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaSimon Fraser University
KeywordsGateway (web page)Asia pacificGeographyPolitical scienceRegional scienceEconomic growthLibrary scienceHistoryEthnologyComputer scienceWorld Wide WebEconomics
DOInot available

Abstract

fetched live from OpenAlex

Since the 1980s, there has been strong economic growth in Pacific Asia, an increase in trade between the region and Canada, and corresponding shifts in British Columbia's economic base and international trade relationships.Facilitated by free trade agreements, these shifts in the political economy of the Pacific Rim have altered the conditions of regional economic development planning: increased inter-regional competition for capital has led to a growth in entrepreneurial planning strategies.This research explores strategies endorsed by BC's Ministry of Economic Development to capitalize on economic growth in Pacific Asia as articulated in a 2007 planning document called British Columbia: The Asia Pacific Initiative.The thesis notes how this document identifies citizen knowledge, particularly geographic and cultural knowledge, as a key competitive advantage for the province.It concludes that, as trade conditions shift, so too does the relationship between government and citizen knowledge in the planning 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 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)0.001
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.078
Threshold uncertainty score0.251

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0180.010
Scholarly communication0.0120.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0170.001

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 head0.017
GPT teacher head0.237
Teacher spread0.220 · 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
Published2011
Admission routes2
Has abstractyes

Explore more

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