Quelle formation aux technologies de l’information et de la communication pour les enseignants du fondamental d’Afrique francophone? Enquête menée par le Réseau international francophone pour les établissements de formation de formateurs (RIFEFF) pour l'Initiative francophone pour la formation à distance des maîtres (IFADEM) .
Bibliographic record
Abstract
Ce rapport présente les résultats d’une étude\nmenée par le Réseau international francophone\ndes établissements de formation de formateurs\n(RIFEFF),dans le cadre de l’Initiative\nfrancophone pour la formation à distance\ndes maîtres (IFADEM). Ce projet, piloté par\nl’Organisation internationale de la\nFrancophonie (OIF) et l’Agence universitaire\nde la Francophonie (AUF), a pour objectif\nle développement d’un dispositif hybride\nqui associe formation traditionnelle,\nutilisation des technologies de l’information\net de la communication (TIC)et méthodes de\nla formation à distance pour l’enseignement\ndu français. La première expérimentation a\npris place dans quatre pays, dont trois\nd’Afrique: le Burundi,le Bénin et Madagascar.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".