Bibliographic record
Abstract
In 1995, wolves were relocated from Canada and reintroduced to Yellowstone National Park. This was done in hopes to thin out rising elk populations, decrease overgrazing, and balance out the ecosystem. Currently, Idaho’s wolf populations have multiplied by 73 times since 1995. This has caused both negative and positive impacts politically, economically and environmentally. In 2011, wolves were taken off the endangered list and made legal to hunt and trap in Idaho. The research in this project will show changes in wolf populations, harvest rates, and livestock depredation over the last decade. The data collected has been taken from the Idaho Department of Fish and Game. They have conducted wolf management reports since 2009 using; trail cameras, radio telemetry, and various capturing methods. Wolves populate very quickly, making them a devastating predator to wildlife and livestock. Hunting, trapping and private management strategies can help balance out predators while bringing in lots of money that is recycled back into conservation efforts. Predator management can be an extremely sustainable way to protect wildlife and bring revenue to the state of Idaho.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".