MétaCan
Menu
Back to cohort
Record W2618776452 · doi:10.22215/timreview/1077

Initiating a New Research Phase in the Field of International Entrepreneurship: An Interview with Professor Nicole Coviello

2017· article· en· W2618776452 on OpenAlexaffvenue
Nicole Coviello, Stoyan Tanev

Bibliographic record

VenueTechnology Innovation Management Review · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsEntrepreneurshipField (mathematics)Phase (matter)SociologyPolitical sciencePhysicsMathematicsLaw

Abstract

fetched live from OpenAlex

Introduction by Stoyan TanevThe internationalization of businesses has become a pervasive phenomenon worldwide. In the international business literature, firms that internationalize early in their life cycle are referred to as “born globals” (Rennie, 1993), “international new ventures” (Oviatt & McDougall, 1994), “global startups” (Oviatt & McDougall, 1995), or “instant

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)0.020
metaresearch head score (Gemma)0.026
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.020
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0180.008
Scholarly communication0.0080.009
Open science0.0020.010
Research integrity0.0100.024
Insufficient payload (model declined to judge)0.0040.001

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 head0.126
GPT teacher head0.432
Teacher spread0.306 · 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
GenreCommentary

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

Citations11
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueTechnology Innovation Management ReviewSame topicInternational Business and FDIFrench-language works237,207