The Challenge of “Fixing the Debt”: Recommendations from the Summit
Bibliographic record
Abstract
With education debt repayment taking up a significant amount of veterinarians' salaries, for a significant time into the working years, concern has been building that the current debt to starting salary ratio in the veterinary profession is not sustainable. The current ratio is 1.99:1, but it can be significantly higher for students who attend schools as an out-of-state resident. In April, 180 people concerned about this issue gathered at Michigan State University's College of Veterinary Medicine for a Fix the Debt Summit, which focused on actions that would reduce this ratio to a more sustainable level. Attendees were students; new graduates; those working in veterinary academia; employers of veterinarians; and those affiliated with the profession, such as professional associations. As solutions were proposed, participants also committed to taking action within their field of influence.
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 | 0.046 | 0.083 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.009 |
| Scholarly communication | 0.019 | 0.019 |
| Open science | 0.008 | 0.020 |
| Research integrity | 0.067 | 0.059 |
| Insufficient payload (model declined to judge) | 0.018 | 0.010 |
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".