Big Thanks to Nellie McClung school of
Bibliographic record
Abstract
The official response we were given from Alaskan officials regarding the wolf culls has come down to $ money $. The letter stated that moose & caribou are critical culturally & nutritionally to Alaskans as well as to subsistence hunters. They continued to state that the moose & caribou are integral to the overall health of the ecosystem...... No WOLVES are! If they do not understand or realize that it is the wolf’s role that maintains ecosystems; the health of ungulates & ultimately that of the forest, then how will they ever piece the puzzle together? In closing, they actually thanked Alanah for researching about carnivores...but failed to miss the entire point of our debate. Surprised? ASPEN GOES TO SCHOOL(s)! Aspen & Shelley will be in the St. Al-bert, AB area the first week in March 2010. If you are involved in an environ-mental group, or if there are any other schools in the Edmonton area interested in having Shelley & Aspen give a presen-tation, please contact the Wolf Centre to set up your date!
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.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.441 | 0.219 |
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".