NSEE8200-01.Ecological Systems: Biomes.Su15.Wood,Bryan
Bibliographic record
Abstract
The concept of systems is essential to understanding ecological principles; nothing demonstrates this better than the biomes of Minnesota. Each of Minnesota's biomes (prairie, deciduous forest, boreal forest) is an interplay of large geologic, biologic, cultural, and meteorological systems. Within each broad system is a subset of systems recognized as plant communities. Experience hands-on, wet-feet camping, sampling, identifying, and observing, travel and reflection, story-sharing, and science knowledge. Discover applications for your own classroom. NOTE: This is a core course of the MAEd:NSEE. Students not admitted to a Hamline degree program may take this course following application for Adult Special status through Graduate Admissions, providing space is available. For information, call 651-523-2900 or visit www.hamline.edu/graduate/index.html. Please register one week prior to course start date. Target audience: educators, naturalists, environmental educators. Lodging, camping and meals included.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.916 | 0.840 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".