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Crossing Cultures, Learning to Export: Making Houses in British Columbia for Consumption in Japan*

2002· article· en· W2081599853 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEconomic Geography · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsUniversity of British ColumbiaSimon Fraser University
Fundersnot available
KeywordsConsumption (sociology)Dimension (graph theory)Production (economics)PoliticsProcess (computing)MarketingHofstede's cultural dimensions theoryMarket intelligenceSociologyBusinessEconomicsEconomyIndustrial organizationPolitical scienceComputer scienceSocial scienceMicroeconomics

Abstract

fetched live from OpenAlex

Abstract: In this article, trade is conceptualized as a cultural as well as an economic and political process. In this view, exporting connects market intelligence with production intelligence on either side of national, typically cultural, borders. These connections frequently imply alternative, mutually influencing, forms of communication and learning that have various implications for local development. A model of relational market intelligence is outlined as a way of understanding this dimension of exporting. The model integrates production and market intelligence while emphasizing alternative pathways of learning and communication. It is applied to the newly emergent trade that features the export of houses from British Columbia to Japan. Within an extended case‐study research design framework, information is based on interviews with manufacturing firms and related organizations in British Columbia. Implications for local development in British Columbia are noted.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.231
Teacher spread0.212 · 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