Service Learning: Priority 4 Paws Mobile Surgical Service for Shelter Animals
Bibliographic record
Abstract
The increasing attention given to competencies needed to enter the workforce has revealed a need for veterinary students to gain more experience in performing small-animal elective surgery before graduation. In addition, guidelines for standards of care for shelter animals recommend that all dogs and cats should be spayed or neutered before adoption. Teaching surgical skills while serving the needs of local animal shelters represents an ideal service-learning opportunity. Following a pilot study and the benchmarking of other programs, an elective course in shelter medicine and surgery was created at Purdue University College of Veterinary Medicine (PVM) to allow senior DVM students an opportunity to spend 2 weeks on a mobile surgery unit (Priority 4 Paws) and 1 week at an animal shelter. With financial assistance from sponsors and donors, PVM purchased and equipped a mobile surgery unit, hired a full-time veterinarian and a registered veterinary technician, and established relationships with 12 animal shelters. From July 30, 2012, to March 22, 2013, 1,941 spays and neuters were performed with excellent postsurgical outcomes while training 33 veterinary students on rotation and 26 veterinary technician students. The program was well accepted by both students and the shelters being served. The Priority 4 Paws program is an example of an integrated, community-based service-learning opportunity that not only helps to improve the surgical skills of veterinary students but also helps to meet an identified community need.
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 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.006 | 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".