Building capacity in One Health: a case study in developing and sustaining interdisciplinary programs in higher education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract One Health, which addresses complex health challenges from the perspectives of environmental, animal and human health, is increasingly incorporated into research and management frameworks. However, educational programs that build capacity for implementing a One Health approach have lagged behind due to difficulties integrating diverse knowledge systems and barriers to collaboration across academic units. Here, we describe the development of a Bachelor of One Health (BOH) undergraduate degree, which spans four colleges (faculties) at a comprehensive university in Canada. We describe the program, rationale, developmental and operational processes, and reflect on factors that may enhance the likelihood of success. We conclude that developing and launching a collaborative, interdisciplinary program such as the BOH is more likely to succeed with early institutional support, robust learning outcomes, a dedicated developmental team with departmental recognition for participation, a high degree of sustained consultation and communication, and ongoing support for, and engagement by, academic partners.
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.
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 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it