Contract and Grant Awards Fiscal Year 2001
Bibliographic record
Abstract
I am pleased to release this 1995 Contract and Grant Awards report, which lists contract and grant (C&G) awards received by the University of New Mexico's (UNM) during fiscal year 1995 (i.e., July 1, 1994 - June 30, 1995), FY95. These awards represent new funds that were acquired during FY95 by the Main Campus and the Health Sciences Center (HSC). The HSC includes the School of Medicine, College of Nursing, College of Pharmacy, and Dental Programs. The C&G awards received for FY95 total $197M, of which $152M is attributed to the Main Campus. Some relevant statistics are summarized in Tables 1a through 1d. These awards assist in providing resources that are necessary to improve the quality of research and teaching on our campus. They also enhance the opportunities for our students to be trained in state-of-the-art laboratories in a variety of disciplines. During FY95, $6.1M was paid to 501 graduate students for research assistantships.
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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 | 0.019 | 0.059 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.021 | 0.006 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.012 | 0.009 |
| Insufficient payload (model declined to judge) | 0.376 | 0.424 |
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".