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Record W2099435089 · doi:10.1080/13691180902858080

NET AND JET

2009· article· en· W2099435089 on OpenAlexafffundabout
Wenhong Chen, Barry Wellman

Bibliographic record

VenueInformation Communication & Society · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsEmbeddednessClosenessBusinessThe InternetDiversity (politics)AttractivenessFunction (biology)MarketingEconomic geographyKnowledge managementComputer scienceSociologyGeographyWorld Wide WebPsychology

Abstract

fetched live from OpenAlex

How does the connectivity afforded by new communication and transportation technologies affect entrepreneurs' geographic and social closeness to each other? Using qualitative and quantitative evidence we analyse how Chinese Canadian entrepreneurs combine the Internet and airplane travel in their business activities. Our results show that the use of new communication and transportation technologies are positively related to the creation and maintenance of ‘glocalized’ networks, a function of both local embeddedness and global outreach. We find that online interaction cannot replace face-to-face interaction; travel abroad is crucial for adding a human touch to glocalized networks. Moreover, while technologies help to liberate communication from being local, Internet use and travel have limited impact on the ethnic diversity of the entrepreneurs' social networks.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.315
Threshold uncertainty score0.449

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.6850.425

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 head0.025
GPT teacher head0.296
Teacher spread0.272 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations42
Published2009
Admission routes3
Has abstractyes

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