Ontario Dairy Producers’ Perceived Barriers and Motivations to the Use of Pain Control for Disbudding and Dehorning Calves: A Qualitative Study
Bibliographic record
Abstract
Canadian dairy farmers are required to use a local anesthetic and analgesic prior to all disbudding and dehorning procedures. This study was done to investigate the opinions of Ontario dairy farmers on the use of pain control for disbudding and dehorning calves and their perspectives on the current requirements of the quality assurance program. Interviews were conducted with 29 dairy farmers across Ontario. All participants used a cautery iron to disbud or dehorn their calves and some form of pain control (i.e., NSAID and/or local anesthetic). Of the 29 producers that were interviewed, 22 (76%) were in compliance with the proAction requirements for pain control. Many participants felt positive about the use of pain control for these practices. Education from veterinarians was one of the most commonly listed resources to reduce barriers to pain control use by producers. A farmer's attitude was highly referenced as an influence on producer behaviour. Although participants had positive views of pain control use, full compliance with national quality assurance requirements for disbudding and dehorning was not met by all. Producer education through veterinarians is a potential avenue to encourage the adoption of pain control use for disbudding and dehorning practices.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| 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 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".