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Record W2064562996 · doi:10.7202/037752ar

Koreans in Vancouver: A Short History

2009· article· en· W2064562996 on OpenAlexvenueaboutno aff
Don Baker

Bibliographic record

VenueJournal of the Canadian Historical Association · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsDowntownImmigrationMainlandMainland ChinaGeographyPopulationChinaHistoryDemographyEthnologySociologyArchaeology

Abstract

fetched live from OpenAlex

The Korean-Canadian community in Vancouver is relatively new, compared to older Asian-Canadian communities such as the Chinese-Canadian and the Indo-Canadian communities. However, Koreans now constitute one of the more visible minority communities in the area. A rapid increase in immigration from Korea led to Koreans establishing churches and restaurants throughout the Vancouver area, and identifying those churches with Korean-language signs. The rise in the number of Koreans living in the southwestern corner of the BC mainland has also led to the emergence of a cluster of stores and offices in the middle of Metro Vancouver that is large enough to merit the label "Koreatown." In addition, downtown Vancouver is filled with students who have come from Korea to study English, further heightening awareness of a substantial Korean population in the Vancouver area. In just a few decades, Korean-Canadians have emerged as a significant component of the multi-cultural landscape of British Columbia.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.346
Threshold uncertainty score0.695

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0070.002
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.018
GPT teacher head0.230
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

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 designNot applicable
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

Citations4
Published2009
Admission routes2
Has abstractyes

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Same venueJournal of the Canadian Historical AssociationSame topicMigration, Ethnicity, and EconomyFrench-language works237,207