Lessons from the Australian Johne's disesase control policies and programs
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
Bovine Johnes disease (BJD) impacts dairy industries globally. Australia and Canada have low cow-level prevalence with varying herd-level prevalence and recently reviewed control activities. Control strategies using vaccination are lacking, suggesting opportunities for improved efficiencies of regulatory oversight. Aims of this study include identifying characteristics of producers participating in BJD control programs and vaccination, financial benefits of participation, and comparison of control activities in Australia and Canada to inform current and future control policy. An online questionnaire captured knowledge, attitudes, and practices plus demographics from 71 Australian dairy farms. Ordinal choice variable analysis identified several influences on participation, including economic factors. Simulation modelling suggests increased profitability through participation in BJD control programs and vaccination. Financial benefits of BJD control in different countries indicates high likelihood of positive returns for long-term programs, but short-term challenges to adoption and sustainability. Canada’s BJD regulatory policies may benefit from Australian experience with BJD control.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it