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Record W2313328112 · doi:10.1177/2393957515594322

Sustaining Immigrant Entrepreneurship in Small- and Medium-sized Cities

2015· article· en· W2313328112 on OpenAlexaffabout
Lucia Lo, Carlos Teixeira

Bibliographic record

VenueJournal of Entrepreneurship and Innovation in Emerging Economies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsUniversity of British Columbia, Okanagan CampusYork University
Fundersnot available
KeywordsImmigrationEmbeddednessEntrepreneurshipEconomic geographySmall businessSociologyEconomic growthEconomicsPolitical scienceBusinessSocial scienceMarketing

Abstract

fetched live from OpenAlex

Whereas immigrant entrepreneurs are seen as engines of economic growth and sustainable urban development, small- and medium-sized cities (SMCs) are challenged by their lack of tradition and appropriate infrastructure in settling/integrating immigrants. This article asks if geography matters in theories on immigrant entrepreneurship, and to what extent immigrant entrepreneurs in SMCs are embedded in social relations. A case study conducted in a medium-sized Canadian city finds that immigrant entrepreneurship in SMCs is characterised by a low degree of social embeddedness, and immigrant entrepreneurs are more satisfied with their accomplishment and optimistic about their business future than their non-immigrant counterparts. It raises questions about the general applicability of current theories that ignore the role of geography in affecting the social, economic and institutional contexts of the place where immigrants conduct their economic endeavours, and suggests how SMCs can attract and retain immigrant businesses.

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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score0.581

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.299
Teacher spread0.248 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations8
Published2015
Admission routes2
Has abstractyes

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Same venueJournal of Entrepreneurship and Innovation in Emerging EconomiesSame topicMigration, Ethnicity, and EconomyFrench-language works237,207