Veterinary Practice - The Canadian multinational veterinary workforce.
Bibliographic record
Abstract
The veterinary profession, from acceptance to veterinary college to retirement, has experienced extensive organizational change in the past 3 decades. This paper is an attempt to understand the context and complexity of national workforce planning in veterinary medicine in Canada. It identifies the obvious practical and ethical considerations, exposing inherent problems in guiding the future of the profession. The discourse concludes there is a structural deficiency in veterinary education program capacity in Canada (practical fact) and Canadian youth may have increasingly difficult access to tertiary education (ethical concern). Adaptation, rather than planning, characterizes current practices in which migration of foreign-trained veterinarians mitigates the structural deficiency in training capacity. Due to the pervasive adoption of neo-liberal marketing principles in tertiary education, a nationally self-sufficient Canadian veterinary college infrastructure is an unlikely future possibility. Our current system, reliant on migration of internationally trained professionals, raises questions of global justice and individual rights. Strategic solutions require reflection on veterinary professional identity, broad discussion, and a commitment to a rigorous concept of professional responsibilities, global citizenship, and the public good.
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 | 0.001 | 0.003 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".