Proposition et expérimentation d'un métamodèle pour la réingénierie des processus métiers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Business process reengineering (BPR) which is one of the methods for introducing changes in the enterprise is not easy to be put into practice. One of the main difficulties concerns the choice of the modelling technique to be adopted for modelling business processes (BPs) during the following phases of BPR: analysis, diagnosis and redesign. In order to solve this difficulty, a generic approach is suggested which offers simple and clear guidelines to the modeller who is responsible for the business processes modelling task. This approach is based on (1) a meta-model for reengineering business processes, which includes business processes concepts and reengineering concepts, and (2) a methodology for the selection of business process modelling techniques within the context of BPR projects. In this paper, the meta-model for reengineering business processes is detailed and its instantiation concerning a real case study is described.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.024 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it