Bibliographic record
Abstract
As I reflect back on my year as president of the College of Veterinarians of Ontario (CVO), I am truly grateful for the privilege of working with the many dedicated and capable individuals who contribute their efforts for the benefit of the public. In this message, first I express my formal thanks to the staff, council, and committees of the CVO, and then highlight some of the more noteworthy events that have occurred in Ontario. This year's elected council members are Drs. Bryan Kennedy (Past President), Mark Spiegle, Melody Mason, Ann Bissett-Strahl, Alma Conn, Ed Doering, Dorothy Geale, Nancy Griffith, Deji Odetoyinbo, Steve Stewart, John Valsalmis, and Wendy Parker. Our current cabinet-appointed members are Messrs. Stewart Cressman, Keith Drummond, Mike Johnson, and T.G. Menen. In May 2002, Mr. Ed Clinton completed his 6-year term on council. His input and wit will be missed. Although I don't list the members of the various committees and task forces, or the individual CVO staff members, I do express my appreciation to each of these dedicated individuals for their valued input.
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 | 0.000 | 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) | 0.003 | 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".