De la formation e-Learning à une démarche heuristique de l'apprentissage organisationnel
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
E-learning experiments carried out in the field of training often prove disappointing. Therefore, adoption motives, the assessment of which is a growing concern for companies, have to be examined. Which learning methods encourage e-learning adoption? Can new technologies encourage organisational learning? From an epistemological point of view, these questions are in keeping with the social perspective which is developing in the field of information systems. The Grounded Theory is applied to interviews carried out with companies following an inductive approach. From a heuristic point of view, the framework of analysis identifies several learning methods which may be pragmatic, cognitive or operational. It appears that the e-learning experiments depend as much on their adaptation to the environment according to a strategic approach as on the social interactions with technology in managerial practices. [PUBLICATION ABSTRACT]
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it