Just-in-time online professional development activities for an innovation in small rural schools / Activités de perfectionnement professionnel « juste-à-temps » pour l’innovation dans les petites écoles rurales
Bibliographic record
Abstract
This article describes the just-in-time online professional development offered to teachers in the Remote Networked Schools (RNS), a systemic initiative funded by the Quebec Ministry of Education (Canada), which aims at enriching the learning environment of small rural schools with the use of information and communication technologies (ICTs). The designed experiment method studies the activity identified and the categories of professional development offered by a university-based intervention team (UBIT) over six years of deployment. Cet article décrit le développement professionnel en ligne « juste-à-temps » proposé aux enseignants dans les Écoles Eloignées en Réseau (ÉÉR), une initiative systémique financée par le ministère de l'Éducation du Québec (Canada), et visant à enrichir l'environnement d'apprentissage des petites écoles rurales par l'utilisation des technologies de l'information et de la communication (TIC). La méthode des plans d’expériences étudie l'activité identifiée et les types de développement professionnel offerts par une équipe d'intervention en milieu universitaire pendant six années de développement.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".