Changement technologique et transfert de compétences : une réflexion à partir du cas des équipages de transport de l’armée de l’air
Bibliographic record
Abstract
Cet article explore la contribution des processus de transfert des compétences en matière de gestion du changement technologique. A partir d’une étude de cas portant sur des équipages d’avions de transport tactique de l’armée de l’air, l’article démontre que le transfert des compétences offre à l’organisation des ressources utiles permettant de gérer un changement technologique majeur. L’article montre également que la culture organisationnelle ne vient pas seulement faciliter ou limiter le transfert des compétences : elle constitue un actif intangible dont le transfert s’avère critique du point de vue du maintien, voire de l’extension, des capacités opérationnelles de l’organisation.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".