THE SUCCESSFUL PRACTICE OF VETERINARY MEDICINE: NEW: CVMA — MEMBER OF THE NATIONAL COMMISSION ON VETERINARY ECONOMIC ISSUES (NCVEI).
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
“The successful practice of veterinary medicine” is one of CVMA's 3 priorities. With its recent partnership agreement with the National Commission on Veterinary Economic Issues (NCVEI), the CVMA will be able to provide new tools to help practice owners to analyze and, where applicable, improve the economic success of their business. Veterinary practice owners, associates, and employees are the beneficiaries of an economically sound business. On July 18, during the 2002 CVMA Summit in Halifax, the CVMA, on behalf of its members, entered officially into a partnership with NCVEI. This new relationship has been negotiated by a CVMA Task Force consisting of Dr. Keith Campbell and Dr. Rob Ashburner. The CVMA joined the founding partners of the NCVEI, the American Veterinary Medical Association (AVMA), the American Animal Hospital Association (AAHA), and the Association of American Veterinary Medical Colleges (AAVMC). Some of the advantages of such an international partnership are the shared access to the significant investments necessary for a benchmarking database and to an interactive system that allows CVMA members to compare their data with USA data and to obtain feedback. The CVMA is the exclusive Canadian member of the NCVEI. The services and benefits resulting from this partnership are offered to all CVMA members.
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.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it