Australian Public Opinions Regarding the Live Export Trade before and after an Animal Welfare Media Exposé
Bibliographic record
Abstract
The long distance export of livestock from Australia to Asia has long aroused controversy for suspected animal welfare concerns during and after the voyage. However, there is little or no information on the attitude of the Australian public towards this trade. A total of 522 Australians were surveyed in Brisbane to find out about their understanding of the trade, their attitudes towards it and the influence of demographic factors. Approximately one half of respondents were surveyed just before a media exposé of cruelty on sheep shipments in 2017 from Australia to the Middle East and one half just after the exposé, to see the impact of media depiction of cruel treatment of live export sheep. Most respondents believed that they were familiar with the industry, and more after the media exposé than before. More respondents had negative than positive feelings about the trade, and just over a quarter had no feelings. Twice as many thought it should be ended than maintained, particularly women, but 40% said that it depends, mainly on ethics and animal-based reasons. Those that thought it should not be ended mainly did so to support farmers and the country’s economy. Almost one half had seen the media exposé, particularly older respondents, and expressions of sadness, empathy for the animals and anger were the most common responses to such footage. Although it increased the number of people saying that they were familiar with the trade, it did not affect people’s view of the trade, except that fewer indicated that ending the trade was dependent on other factors. It is concluded that the majority of Australian respondents in one capital city had negative views towards the live export trade, and that a media exposé had some influence on this view.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 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 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".