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Record W3035776813 · doi:10.1515/erj-2019-0201

Moving from Intentions to Actions in Youth Entrepreneurship: An Institutional Perspective

2020· article· en· W3035776813 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

VenueEntrepreneurship Research Journal · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsUniversity of Calgary
FundersRussian Science Foundation
KeywordsEntrepreneurshipSituational ethicsPerspective (graphical)Quality (philosophy)Scale (ratio)Public relationsOrder (exchange)BusinessMarketingPolitical sciencePsychologySocial psychologyFinance

Abstract

fetched live from OpenAlex

Abstract Situational factors may facilitate or frustrate the translation of entrepreneurial intentions into subsequent actions. In this study, we use data from two waves of a large-scale cross-country study of student entrepreneurship, the Global University Entrepreneurial Spirit Students' Survey (GUESSS), conducted in 2011 and 2013/2014 (n = 1434 students from 142 universities in nine countries), in order to investigate the impact of country-level institutions (financial market institutions and legal institutions) on the link between entrepreneurial intentions and subsequent start-up activities. We find that the quality of legal institutions has a significant positive impact on the translation of intentions into actions, whereas the quality of the national financial system does not influence the intentions-actions link. Theoretical and public policy implications are discussed.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.168
GPT teacher head0.361
Teacher spread0.193 · 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