NSEE8200-RW.Ecological Systems: Biomes.Sp14.Wonser,Renee
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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 it