Perceptions of dairy cow–handling situations: A comparison of public and industry samples
Notice bibliographique
Résumé
Inappropriate cattle handling poses a reputational threat to the dairy industry. To enhance social sustainability, handling practices must resonate with societal values about animal care. However, it has yet to be determined to what extent industry and public stakeholders differ in their perception of common cattle handling situations. We administered an online survey to samples of dairy industry (IND) and public (PUB) stakeholders to examine how they perceive a variety of cow-handling scenarios ranging from positive to negative in terms of effects on animal welfare. Participants were presented with 12 brief videos depicting a range of realistic cow-handling situations and responded to measures designed to assess their attitudes and beliefs about each scenario, their perception of the emotional response of the cows depicted in each scenario, as well as their own personal emotional response. Preexisting beliefs about cow treatment on US dairy farms and demographic data, including self-reported dairy consumption, were also collected and analyzed. Before viewing the videos, 52.9% of PUB (vs. 79.0% of IND) believed cows were treated well while 27.2% (vs. 9.0% of IND) believed cows were treated badly. Within IND, believing cows were treated badly was more common among nonwhites, those with greater formal education, more liberal politics, or from urban or suburban environments. In PUB, female and younger participants were more likely to believe cows were treated badly before viewing the videos. In both samples, participants with more positive preexisting beliefs about dairy cow treatment in the US reported consuming dairy products more frequently. In both PUB and IND, scenarios which were rated more positively for attitudes or for the cows' or respondents' emotional experiences were also perceived as more common. Within a given cow-handling scenario, qualitative attitudes (i.e., a positive, negative, or neutral valence) did not differ between the samples. In both samples, at the participant level, overall attitudes toward cow-handling scenarios were highly correlated with both their personal emotional response to the scenario and their perception of the cows' emotional responses. Although the participants' overall personal emotional responses did not differ between the samples, IND rated cows as experiencing more negative emotions overall. The consensus between industry and public stakeholders around dairy cow-handling practices observed in this study could provide a common starting point for addressing other, more contentious animal welfare issues.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».