Se réinventer pour former les étudiants en situation de pandémie mondiale – le cas d’une enseignante en technique d’hygiène dentaire
Bibliographic record
Abstract
La pandémie mondiale liée à la COVID-19 a provoqué des changements sans précédent dans le monde entier, notamment en éducation. Lors de la déclaration de l’état d’urgence sanitaire en mars 2020, des centaines d’enseignants provenant de partout au Québec ont dû modifier leurs stratégies d’enseignement rapidement afin que les apprenants aient accès à l’éducation à laquelle ils ont droit. Ces besoins d’adaptation ont ainsi amené madame Hélène Charest, enseignante en technique d’hygiène dentaire au cégep de Chicoutimi, à travailler avec ses étudiants pour créer du matériel de prévention, contribuant ainsi à la formation obligatoire des étudiants en technique d’hygiène dentaire et à l’offre de services aux enfants fréquentant des écoles et des centres de la petite enfance de la région du Saguenay-Lac-Saint-Jean.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".