Bibliographic record
Abstract
The University of Waterloo’s Earth Sciences Museum was started as a Canadian centennial project and has been part of the Department of Earth and Environmental Sciences outreach program for over 40 years. Museum initiatives include lectures; hands-on geological activities such as gold panning; construction of a rock garden; production of geology-themed books for children and adults; podcasts; and participation in gem shows, groundwater festivals and other public events. The museum benefits from public and private funding and the donation of specimens. Volunteers and co-op students allow it to function with a minimum of staff. It provides examples of the types of programs to increase public geological knowledge and understanding that can be offered by even a modest museum. SOMMAIRE Le Musee des Sciences de la Terre a l’Universite de Waterloo etait un porjet du centennaire duCanada, et depuis a fait parti d’un programme de communication du Departement des Sciences de la Terre. Les initiatives incluent des conferences; des activities geologiques, comme le lavage de gravier pour separer de l’or; le developpement d’un jardin de rocaille; la production de livres a themes geologiques pour enfants et adultes; des programmes pour iPod; et la participation a des exhibitions de pierres precieuses, des festivals de l’eau souterraine et auters activites publiques. Le musee jouit de financement publique et prive, et de dons specimens. Des benevoles et des etudiants permettent le fonetionnement avec le minimum d’employes. Ceci offert des exemples de programmes pour ameliorer les connaissances st la comprehension de la geologie pour le grand publique qu’un musee de taille modeste peut amener.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.281 | 0.069 |
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".