Démarche d’implantation de l’approche Lean dans la gestion de l’éducation : vers de meilleurs services à moindres coûts?
Bibliographic record
Abstract
L’article porte sur l’implantation d’une approche de type Lean visant l’amelioration de certains processus de gestion dans une commission scolaire quebecoise. Les approches de type Lean sont caracterisees par la participation active des employes et la reduction des gaspillages. Deux projets d’amelioration sont presentes, l’un portant sur la gestion des factures des etablissements d’enseignement et l’autre sur la gestion des archives. La methodologie de deploiement utilisee est decrite et les resultats partiels sont presentes. Les resultats observes a ce jour montrent une amelioration de l’organisation du travail, une reduction des delais, une amelioration de la satisfaction pour les personnes impliquees et des economies budgetaires.
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".