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Record W3012135845 · doi:10.3917/proj.025.0131

Causation, effectuation, improvisation et agir entrepreneurial. Pour une approche renouvelée et intégrative de l’entrepreneuriat

2020· article· fr· W3012135845 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

VenueProjectics / Proyéctica / Projectique · 2020
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicPrivate Equity and Venture Capital
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Les travaux portant sur l’effectuation ont considérablement fait évoluer la recherche en entrepreneuriat. Initialement positionnés en opposition aux approches causales, ces travaux ont permis de montrer la présence de la logique effectuale, mais aussi d’autres logiques. Dans cet article, les auteurs proposent d’envisager ces logiques de fonctionnement à travers l’angle de l’agir entrepreneurial (Schmitt, 2015) qui inclut celles-ci et l’improvisation, mais qui va au-delà pour expliquer les comportements des entrepreneurs à court et à moyen terme. Cette perspective de l’agir entrepreneurial permet non seulement de mieux comprendre ces comportements, mais aussi l’entrepreneuriat régional ou national, la question du temps et les logiques collectives dans la dynamique entrepreneuriale ; dans ce dernier cas, en tenant compte, par exemple, des parties prenantes, mais aussi de l’écosystème, de façon à situer et à distribuer cet agir entre plusieurs.

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)0.003
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.866
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.005
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.034
GPT teacher head0.285
Teacher spread0.251 · 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