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Record W1990952407 · doi:10.1002/tie.20319

The diaspora solution to innovation capacity development: Immigrant entrepreneurs in the contemporary world

2010· article· en· W1990952407 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.

Bibliographic record

VenueThunderbird International Business Review · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsDiasporaHomelandEntrepreneurshipIndigenousImmigrationCapacity buildingBrain drainEconomic growthChinaBusinessPolitical scienceEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract The international migration of highly skilled labor was formerly a threat to the underdeveloped world with regard to indigenous innovation capacity. However, certain countries have successfully turned “brain drain” into “brain gain” by effective engagement with a skilled diaspora who have returned to set up business ventures in the homeland. This article advocates an entrepreneurial approach to the development of national innovation capacity through contemporary diasporic entrepreneurship (CDE). Drawing evidence mostly from China, the article argues that (1) CDE offers an alternative to conventional indigenously and internationally oriented approaches toward innovation capacity development; (2) compared to other ways of diaspora homeland engagement, CDE is most beneficial to capacity development; and (3) besides participating in philanthropic and scientific projects, a skilled diaspora returning as private business owners represents an often more productive way of contributing to national capacity development. © 2010 Wiley Periodicals, Inc.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.912

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.067
GPT teacher head0.319
Teacher spread0.253 · 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