History of the <i>Journal of Veterinary Medical Education</i>
Bibliographic record
Abstract
The Journal of Veterinary Medical Education (JVME), with the leadership of seven editors and two interim editors, grew from 33 pages of mostly news and commentary to become the premier source for information exchange in veterinary medical education. The first national publication of the Association of American Veterinary Medical Colleges (AAVMC) was a 21-page newsletter published in December 1973. This one-time newsletter was followed by volume 1, issue 1 of JVME, published in spring 1974 and edited by William W. Armistead. Richard Talbot was the second and longest serving editor, and under his leadership, JVME grew in the number and quality of papers. Lester Crawford and John Hubbell served as interim editors, maintaining quality and keeping JVME on track until a new editor was in place. Robert Wilson, Billy Hooper, Donal Walsh, Henry Baker, and the current editor, Daryl Buss, are major contributors to the success of JVME. The early history of the journal is described by Billy Hooper and followed by a brief history of the periods of each of the editors. This history concludes with objective and subjective evaluations of the impacts of JVME.
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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.032 | 0.021 |
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".