Implementing a Student Progress Committee: The Student and Faculty Perspectives
Bibliographic record
Abstract
INTRODUCTION The accompanying article details the creation of an ad hoc Student Progress Committee (SPC) at the College of Veterinary Medicine (CVM) at Washington State University that is charged with providing advice and recommendations on issues related to the academic and professional progress of veterinary students enrolled in the DVM program. The SPC reviews students’ records on a routine basis to ensure satisfactory progress in all areas pertaining to the academic standards of the CVM and requirements for graduation (i.e., performance in coursework, as well as meeting the high standards of conduct delineated in the CVM Essential Requirements policy). Included in the committee’s actions have been recommendations about progression, remediation, dismissal, and graduation. The SPC has sought to identify students with deficiencies as early as possible in the program and to intervene before steadily accumulating deficiencies inevitably lead to failing grades. The operation of the committee and its actions are detailed in the preceding article.
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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 | 0.126 | 0.137 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.009 |
| Scholarly communication | 0.026 | 0.011 |
| Open science | 0.007 | 0.012 |
| Research integrity | 0.018 | 0.022 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".