| Literature DB >> 30987330 |
Abstract
Human perception can depend on how an individual frames information in thought and how information is framed in communication. For example, framing something positively, instead of negatively, can change an individual's response. This is of relevance to 'positive animal welfare', which places greater emphasis on farm animals being provided with opportunities for positive experiences. However, little is known about how this framing of animal welfare may influence the perception of key animal welfare stakeholders. Through a qualitative interview study with farmers and citizens, undertaken in Scotland, UK, this paper explores what positive animal welfare evokes to these key welfare stakeholders and highlights the implications of such internal frames for effectively communicating positive welfare in society. Results indicate that citizens make sense of positive welfare by contrasting positive and negative aspects of welfare, and thus frame it as animals having 'positive experiences' or being 'free from negative experiences'. Farmers draw from their existing frames of animal welfare to frame positive welfare as 'good husbandry', 'proactive welfare improvement' or the 'animal's point of view'. Implications of such internal frames (e.g., the triggering of 'negative welfare' associations by the word 'positive') for the effective communication of positive welfare are also presented.Entities:
Keywords: citizen perception; farmer perception; free elicitation narrative interviews; qualitative research
Year: 2019 PMID: 30987330 PMCID: PMC6523948 DOI: 10.3390/ani9040147
Source DB: PubMed Journal: Animals (Basel) ISSN: 2076-2615 Impact factor: 2.752
Farmers’ demographic information.
| Sector | Gender | Age | Farm Size (Ha) | Number of Animals | System |
|---|---|---|---|---|---|
|
| |||||
| 1 | Male | 30–40 | 130 | 100–200 | Pasture |
| 2 | Male | 50–60 | 137 | 200–300 | Pasture |
| 3 | Male | 18–30 | 62 | 100–200 | Pasture |
| 4 | Male | 30–40 | 343 | 700–800 | Zero-grazed |
| 5 | Male | 50–60 | 283 | 100–200 | Pasture |
| 6 | Male | 30–40 | 160 | 300–400 | Pasture and robotic milking |
| 7 | Male | 40–50 | 344 | 300–400 | Pasture and zero-grazed, non-robotic and robotic milking |
| 8 | Male | 30–40 | 100 | 100–200 | Zero-grazed |
| 9 | Female | 18–30 | 307 | 300–400 | Zero-grazed |
| 10 | Male | 40–50 | 776 | 1000–1500 | Outdoor 365 days/ year |
| 11 | Female | 30–40 | 687 | 400–500 | Pasture and zero-grazed |
| 12 | Male | 40–50 | 176 | 100–200 | Organic and robotic milking |
| 13 | Male | 40–50 | 283 | 800–1000 | Zero-grazed |
|
| |||||
| 1 | Male | 60–70 | 178 | 600–700 | Indoor-wintered |
| 2 | Male | 40–50 | 438 | 200–300 | Indoor-wintered |
| 3 | Male | 30–40 | 95 | 200–300 | Outdoor-wintered |
| 4 | Male | 50–60 | 230 | 400–500 | Outdoor-wintered |
| 5 | Female | 30–40 | 4 | <100 | Indoor-wintered |
| 6 | Male | 50–60 | 100 | 400–500 | Outdoor-wintered |
| 7 | Male | 40–50 | 1011 | 200–300 | Indoor-wintered |
| 8 | Male | 60–70 | 60 | 400–500 | Outdoor-wintered |
| 9 | Male | 40–50 | 500 | 1000–1500 | Outdoor-wintered & Indoor-wintered |
| 10 | Prefer not to say | 40–50 | 750 | 1000–1500 | Indoor-wintered |
|
| |||||
| 1 | Male | 30–40 | 141 | 10000–15000 | Free range and organic |
| 2 | Male | 50–60 | 95 | 120000–130000 | Free range |
|
| |||||
| 1 | Male | 40–50 | 54 | 200–300 | Free range (pig and poultry), organic (all species), indoor-wintered (beef), outdoor-wintered (sheep) |
| 2 | Male | 30–40 | 230 | 1000–1500 | Free range (poultry), straw-housed (pig), outdoor-wintered (sheep) |
|
| |||||
| 1 | Male | 30–40 | 555 | 2000–3000 | Housed (slats and straw) |
Citizens’ demographic information.
| Citizen | Gender | Age | Farming Experience | Urban Rural | Dietary Preferences |
|---|---|---|---|---|---|
|
| Female | 40–50 | None | Large urban | Reduced meat consumption |
|
| Female | 30–40 | None | Large urban | Reduced meat consumption |
|
| Female | 18–30 | Farming background | Rural | Vegetarian |
|
| Male | 18–30 | Visited farms | Large urban | Consume meat |
|
| Male | 18–30 | Farming background | Large urban | Reduced meat consumption |
|
| Female | 50–60 | Farming background | Rural | Consume meat |
|
| Female | 30–40 | Visited farms | Small town | Consume meat |
|
| Female | 18–30 | Visited farms | Small town | Vegetarian |
|
| Male | 18–30 | Visited farms | Large urban | Consume meat |
|
| Male | 50–60 | Farming background | Large urban | Consume meat |
|
| Female | 18–30 | None | Large urban | Reduced meat consumption |
|
| Male | 18–30 | Visited farms | Large urban | Vegan |
|
| Male | 40–50 | Visited farms | Large urban | Consume meat |
|
| Female | 18–30 | None | Large urban | Reduced meat consumption |
|
| Female | 30–40 | Visited farms | Large urban | Reduced meat consumption |