Sens et Dialogue : forces motrices d’un modèle pédagogique innovant
Bibliographic record
Abstract
Si la pédagogie de l’accompagnement entrepreneurial suscite une plus grande attention, le partage explicite des pratiques reste marginal. C’est notre but en écrivant cet article. Une approche originale et un modèle pédagogique innovant ont inspiré l’Académie de l’Entrepreneuriat et de l’Innovation (AEI) à nous attribuer le Prix de l’innovation pédagogique 2021. Fruit d’une démarche praxéologique de réflexion-dans-l’action et de collaborations auprès d’experts de l’éducation, le modèle proposé place en son cœur l’ Être , comme affirmation claire de la place que doit occuper le développement des personnes dans l’accompagnement entrepreneurial. De plus, l’identification d’un sens, pour soi et pour la société, et le dialogue agissent comme forces motrices de la mise en œuvre du modèle. Cette pratique innovante oblige à une planification fine de chaque séance et à une révision des postures enseignantes et apprenantes. La pratique d’accompagnement partagée ici se déroule au sein d’un incubateur universitaire au Québec.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.073 |
| Scholarly communication | 0.020 | 0.017 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".