Une relecture du Ba d’Ikujiro Nonaka par l’Ecole de la proximité. Le cas d’un échec de conversion de connaissances entre la France et la Chine
Bibliographic record
Abstract
Le concept de Ba proposé par Nonaka et Konno (1998) vise à expliciter les conditions fondamentales qui président à la conversion des connaissances dans les projets d’innovations. Ce concept souffre encore d’une relative imprécision que cet article cherche à combler. Pour ce faire, nous proposons de faire appel aux travaux de l’Ecole de la proximité. Nous montrons, grâce à l’étude d’un cas d’échec de coopération entre des acteurs français et chinois de la santé, qu’un Ba insuffisamment développé fait obstacle à la conversion des connaissances entre les acteurs, obstacle que nous analysons ici comme une absence de proximités. Des enrichissements théoriques sont ensuite proposés, puisqu’apparaît des complémentarités entre les concepts de proximités et de Ba .
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".