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Record W3217797592 · doi:10.3917/entre1.pr.0014

Les aspirations des immigrants pour l’entrepreneuriat de haute performance : une étude empirique

2021· article· fr· W3217797592 on OpenAlexaff
Marc Duhamel, Abdul Anjorin Houssou, Étienne St-Jean

Bibliographic record

VenueRevue de l’Entrepreneuriat · 2021
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsImmigrationPolitical scienceEntrepreneurshipHumanitiesWelfare economicsEconomicsArt

Abstract

fetched live from OpenAlex

Cette étude met en évidence l’influence du statut d’immigrant sur les aspirations à l’entrepreneuriat de haute performance, soit l’entrepreneuriat qui favorise un meilleur potentiel économique à long terme. À partir d’un échantillon de 14 679 entrepreneurs émergents du Global Entrepreneurship Monitor, nous montrons que le statut d’immigrant influence favorablement trois des quatre dimensions des aspirations entrepreneuriales de haute performance, soit l’aspiration à l’innovation de procédés, à la forte exportation et à la forte croissance de l’emploi. Ces résultats suggèrent que l’entrepreneur immigrant est un rouage potentiellement plus important que le natif dans les forces de l’entrepreneuriat schumpétérien.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.038
GPT teacher head0.254
Teacher spread0.215 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2021
Admission routes1
Has abstractyes

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