Walking Box Ranch Custodianship Quarterly Progress Report: Period ending October 10, 2009
Bibliographic record
Abstract
UNLV provides stewardship of Walking Box Ranch (WBR) by providing a caretaker who oversees the property, facilitating use of the property by researchers and educators, developing a use and research policy for the property, and coordinating these activities with BLM and in accordance with TNC restrictions. UNLV currently addresses security issues for the property through the presence of the caretaker and three Metro Officers who reside on the property in two recreational vehicles, in rotation. UNLV is developing a Premises-use Process, which will define how UNLV receives and submits requests to conduct work on the 40-acre headquarters site to BLM. This procedure will be completed during 2009. UNLV has completed testing, and therefore finalized, a draft inspection document that guides daily inspection of the ranch by the caretaker. UNLV is finalizing an agreement with Metro Officers permitting the officers to stay on the ranch property, increasing security for the ranch. UNLV is working with EDAW and BLM to identify location of old well near ranch house. UNLV will determine the best method to analyze water available for the ranch for coliforms, nitrates and other constituents, and to report those results.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.232 | 0.086 |
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".