Voies et voix d’approches critiques en entrepreneuriat
Bibliographic record
Abstract
Dans ce qui suit, nous abordons d’abord certaines naturalisations en entrepreneuriat qui ont pu freiner le développement de points de vue critiques. Nous suggérons ensuite que la critique s’est exprimée de deux manières : en éclairant les dimensions obscures de l’entrepreneuriat d’une part, en travaillant aux conditions de l’émancipation d’autre part. Si elles ne sont à proprement parler critiques, un certain nombre de recherches ont contribué à défaire l’évidence d’une approche rationnelle et formelle de l’entrepreneuriat. Un tournant critique important consiste également dans le questionnement du déploiement du discours entrepreneurial bien au-delà de la création d’organisation conduisant notamment à façonner les identités, entrepreneuriales ou non. Avant de présenter les papiers qui organisent ce premier numéro dédié aux approches critiques en entrepreneuriat, nous explorons rapidement différentes pistes afin de les installer durablement dans le champ.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".