Bibliographic record
Abstract
The development of veterinary specialization in Europe is described, from its inception in 1989, through the establishment of the European Board for Veterinary Specialisation (EBVS) in 1996, to the establishment of the supervising European Coordinating Committee for Veterinary Training (ECCVT) in 2005. Currently there are about 1,500 European veterinary specialists in 21 different disciplines, which can be organ, species or discipline oriented. Each specialization is supervised by a college. Each college has representatives on the EBVS, which defines the rules, oversees procedures within the colleges, and deals with appeal procedures. The ECCVT, which consists of representatives from the European Association of Establishments for Veterinary Education (EAEVE), the Federation of Veterinarians in Europe (FVE), and the EBVS, is the supervising body that can approve procedures for the recognition of European veterinary specialists and acts as a liaison between the veterinary profession and relevant European and international bodies with respect to matters relating to post-graduate education.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".