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Record W4281712892 · doi:10.3917/entin.051.0084

L’entrepreneuriat étudiant : regards croisés sur les thèses primées en 2021

2022· article· fr· W4281712892 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

VenueEntreprendre & Innover · 2022
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Au cœur des préoccupations des pouvoirs publics, l’entrepreneuriat mobilise d’importantes ressources et l’éducation en entrepreneuriat est évaluée sur sa capacité à produire les effets attendus : création d’entreprises, d’emplois et développement de l’esprit d’entreprendre. Le caractère processuel de la démarche entrepreneuriale, ancrée dans un écosystème par nature dynamique, induit de nécessaires interactions entre les acteurs impliqués dans le projet. Leurs subjectivités influent sur leur rapport au projet entrepreneurial. Les deux thèses présentées dans ce ‘Regards croisés’ interrogent d’une part les formes que peut prendre l’engagement de l’entrepreneur naissant dans ce contexte spécifique de création et d’émergence et d’autre part l’évaluation nécessairement multidimensionnelle de l’impact des dispositifs d’éducation en entrepreneuriat. Ces travaux contribuent à alimenter la boîte à outils des accompagnateurs en prenant en compte le rôle des facteurs contextuels.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
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 studies0.0020.000
Scholarly communication0.0010.002
Open science0.0010.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0610.001

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 head0.014
GPT teacher head0.214
Teacher spread0.200 · 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