“The advice? Think bigger”: Community perspectives on dairy farming, including surplus calves – an Australian focus group study
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
Citizens are becoming increasingly disconnected from food production. Despite this, many people still hold strong values about how food is produced. The aim of this study was to attain an in-depth understanding of Australian public attitudes towards sustainability and animal welfare in dairy production, as well as early life killing of surplus dairy calves and cow-calf separation; issues commonly identified as being out of step with public values. We conducted three focus group sessions, each with 8 Australians that varied in age, gender identity, income, and frequency of consumption of dairy products. Thematic analysis of the semi-structured discussions resulted in two key themes, each with underlying sub-themes: 1) Animal agriculture as an industry, including sustainability, farmers as people, and farming practices; and 2) Personal impacts and reflections as citizens, including ethical considerations, and consumer behaviors.
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 | 0.010 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| 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