Une histoire de vie professionnelle avec la reconnaissance des acquis, comme passages de frontières et de niveaux entre parcours, discours et dispositifs
Bibliographic record
Abstract
Ce texte vise à rappeler les enjeux passés et présents de la reconnaissance et validation des acquis de l’expérience (RVAE) pour mieux construire l’avenir. Il consiste en un retour réflexif sur un parcours de 60 ans de recherche-formation universitaire, mais aussi expérientielle, avec la RVAE dans diverses universités. La première partie relate mon parcours de vie avec la RVAE à l’université. La seconde partie présente la RVAE comme zone-interfacielle à travailler entre deux paradigmes : celui, institué, de la recherche-enseignement universitaire et celui, émergent, de l’apprentissage expérientiel à mettre en culture. La troisième partie propose des jalons de construction paradigmatique de la RVAE pour l’avenir.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".