Bibliographic record
Abstract
Since 1922, the Western Association of Fish and Wildlife Agencies (WAFWA) has served as a leader promoting management and protection of fish and wildlife in the western United States and Canada. An organization represented by 17 states and four Canadian provinces, WAFWA has faced the difficult challenge of sifting through the ever-changing societal, economic, political and scientific issues that define natural resource management in a West that has undergone many changes. WAFWA is particularly concerned about mule deer, a species that lives in every North American habitat except for the tropics, arctic and extreme deserts. Mule deer numbers and distribution have been declining throughout the West since the latter third of the 20th century. To address this concern, the Mule Deer Working Group was established at the midwinter meeting of WAFWA in 1998. The group was charged with finding "solutions to our common mule deer management problems," expanding "cooperative research and management in the Western states and provinces," and sharing information with agency directors and administrators on mule deer issues. To achieve its goal, the working group set out to improve communication about mule deer, and make it easier for agencies to share information on mule deer management and research. Mule Deer in the West, Changing Landscapes, Changing Perspectives, is one of the outcomes of the working group. The goals of this publication are to share research and technical information on mule deer in an easy-to-read format, and to generate informed discussion on a species that defines the West and is of tremendous importance to many people.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.005 |
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".