Building an Outdoor Classroom for Field Geology: The Geoscience Garden
Bibliographic record
Abstract
Many geoscience educators have noted the difficulty that students experience in transferring their classroom knowledge to the field environment. The Geoscience Garden, on the University of Alberta North Campus, provides a simulated field environment in which Earth Science students can develop field observation skills, interpret features of Earth's crust in three dimensions, and discover Earth history. The garden consists of large (1–5 m) boulders and rock slabs arranged in a landscaped layout that represents the geology of western and northern Canada. The project adds a unique capability for teaching basic field skills to students in a local environment and prepares them for field courses at more remote locations. Students work in the garden in a second-year introductory structural geology class that precedes a field school. Student perceptions of the effectiveness of the installation were evaluated using surveys of students returning from field school. Initial responses were positive; students returning from field school after the introduction of the garden reported significantly greater satisfaction with their ability to collect field data.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".