Citizens' views on the practices of zero-grazing and cow-calf separation in the dairy industry: Does providing information increase acceptability?
Bibliographic record
Abstract
The primary aim of this study was to assess the influence of provision of information on lay citizens' opinions regarding 2 common management practices, zero-grazing and cow-calf separation. To aid in the interpretation of the findings, our secondary aim was to explore the awareness and opinions of Brazilian citizens about these practices. We surveyed a convenience sample of Brazilian citizens (192 men and 208 women), recruited in a public place, with the majority stating that they were largely unfamiliar with animal production and lived in urban environments. Participants were presented short scenarios with information on the primary production factors and welfare concerns for and against zero-grazing (n = 200) or cow-calf separation (n = 200). Participants were then asked to state their position (reject, indifferent, or support), and to provide the reason(s) justifying their position. Immediately following, participants were provided a short statement describing either zero-grazing or cow-calf separation, depending on what question they responded to in the first part. Two closed questions (Q) followed each of these statements: (Q1) "Are you aware of this practice?" with choices yes, somewhat, or no, and (Q2) "What is your position regarding this practice?" with choices reject, indifferent, or support. Only 31 and 33% of the respondents were aware of zero-grazing and cow-calf separation, respectively. Previous awareness of existence of practice did not influence levels of support. Provision of information resulted in more people rejecting the practices of zero-grazing and cow-calf separation. Participants' main justifications to reject zero-grazing and cow-calf separation focused on perceived negative effects of practices on farm animal welfare and product quality, and loss of naturalness. Survey participants, Brazilians living in urban environments, with little or no association with dairy production, were generally unaware that many cows do not have access to pasture and that cows are separated from their calf at birth. Independent of provision of additional information, most participants did not support these practices. Provision of brief explanatory information played a minor role in influencing people's views, but failed to result in general acceptance.
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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 | 0.015 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".