EdGEO: Helping Teachers Teach Earth Science
Bibliographic record
Abstract
EdGEO is a national program that supports Earth science workshops for Canadian teachers. Geoscientists and teachers work collaboratively to develop and deliver these curriculum-linked workshops, which provide teachers with the classroom resources, enhanced knowledge, and increased confidence to teach Earth science more effectively. Grants of up to $3000 per workshop are available from EdGEO for this purpose. The ability of EdGEO to advance its vital mission relies on the generous support of scientific associations, corporations, foundations and individuals. With increased funding, EdGEO’s future will see the compilation of EdGEO lesson plans from workshops across Canada, and the development of learning activities to integrate Earth science into physics, chemistry, biology and mathematics; all these resources will be available for download from the EdGEO web site. SOMMAIRE EdGEO est un programme national visant a aider les enseignants canadiens a creer des ateliers en sciences de la Terre. Des scientifiques des sciences de la Terre et des enseignants joignent leurs efforts pour elaborer et presenter ces ateliers adaptes a chaque niveau, dotant ainsi aux enseignants de ressources pedagogiques, de meilleures connaissances pour un enseignement plus sur et plus efficace. A cet effet, EdGEO offre des bourses pouvant aller jusqu’a 3 000 $. Cela dit, la capacite d’EdGEO a mener a bien sa mission depend de la generosite de dons provenant d’associations professionnelles, de societes, de fondations et de particuliers. Pourvu de meilleures capacites financieres, EdGEO entend compiler les plans de lecon EdGEO mis au point au Canada et elaborer des activites d’apprentissage pour integrer les sciences de la Terre a l’enseignement de la physique, de la chimie, de la biologie et des mathematiques; toutes ces ressources pourront etre telecharger a partir du site Internet d’EdGEO.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.082 | 0.033 |
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".