Applied qualitative methods for social life cycle assessment: a case study of Canadian beef
Notice bibliographique
Résumé
This paper presents a transparent and rigorous methodological approach to conducting a case study of social performance (SP) within the conventional life cycle of Canadian beef. The objective was to explore the potential benefits and risks (or hotspots) of practices on Canadian beef farm businesses (BFBs) and slaughter operations (BSOs) to establish valid benchmarks and a social sustainability roadmap for decision-makers to improve SP. This study undertook a novel and participatory approach to social life cycle assessment (S-LCA). Respondents from both within and at-arms-length to the beef value chain were engaged to identify SP practices and perceptions and develop the life cycle inventory. The goal and scope, inventory, assessment, and interpretation were conducted in a three-phased approach: (i) scoping; (ii) practice-based assessment; and (iii) deep-dive assessment. Data collected through mixed methods, including Q method, interviews, surveys, and literature review, were assessed using a type I (reference scale) approach and interpreted through critical interpretive synthesis. Organizational SP was explored at BFBs and BSOs, considering the following stakeholders: value chain actors, farmers, employees, and cattle. Outcomes from the applied approach explore the interrelations between organizations and stakeholders along the value chain. Impact categories concerning labour management, people’s health and safety, and animal care were prioritized for deep-dive assessment. Subcategories included novel topics, like recruitment and retention and access to mental health resources. A range of potential benefits and areas for improving SP were identified at BFBs and BSOs. Potential risks from SP were identified for stakeholders from working hours, communication and dispute resolution, animal transport, and personal protective equipment practice areas. Results informed strategic activities for the National Beef Sustainability Strategy. This study contributes to the social sustainability discourse in livestock systems by demonstrating a qualitative approach to S-LCA that can be replicated by practitioners to explore valid and locally specific social dimensions of sustainability. Practitioners may consider the approach and results in future studies to better capture and manage the complex and dynamic nature of livestock systems, leading to more effective social sustainability decisions that incorporate diverse stakeholder perspectives.
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 | 0,003 | 0,000 |
| 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 | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».