Seeking Sustainability: COSA preliminary analysis of sustainability initiatives in the coffee sector
Notice bibliographique
Résumé
The growing economic value and consumer popularity of sustainability standards inevitably raise questions about the extent to which their structure and dynamics actually address many environmental, economic and public welfare issues. The COSA (Committee on Sustainability Assessment) project emerged from the concerns of many industry practitioners and the two dozen institutions collectively organized as the Sustainable Coffee Partnership (see Acknowledgements) about the lack of knowledge and dearth of sound scientific inquiry on what actually happens in the process of adopting sustainability initiatives.1 The committee set out to develop a scientifically-credible framework with which to examine and measure the various types of costs and benefits associated with different sustainability approaches. The COSA method is an innovative farm management tool because it incorporates not only economic methods, but also environmental and social metrics to offer a multi-faceted view of sustainability that reflects the intentions and results of the 2002 World Summit on Sustainable Development. The basic COSA approach consists of a data gathering and analysis process so that farmers and other stakeholders can more effectively assess and predict what sort of social, economic and environmental outcomes they may have by implementing different sustainability initiatives. This report covers the initial pilot phase of the COSA project: a process of vetting and testing to prepare the COSA methodology for wider application. Although the primary objective of the testing phase is to identify improvements for making the methodology more suited to diverse producer applications, the opportunity was also taken to compile and analyze the data to demonstrate the analytic capacity and relevance of this work. During testing, the COSA questionnaire was reviewed by the Scientific Committee and external stakeholders prior to being applied in five countries (Kenya, Peru, Costa Rica, Honduras and Nicaragua) across more than 50 farms that represented the most widely-known sustainability initiatives, including Fair Trade, Organic,Utz Certified and Rainforest Alliance. This was followed by several review workshops and basic data compilation and analysis. Data gathered during the testing process do provide a reflection of the actual experience of the specific farms tested and, as such, can provide pointers for a deeper understanding of the functioning of sustainability initiatives in the field.Nevertheless, given the inherent challenge of extracting statistically significant results, the expectation of doing so in the COSA testing process would be unreasonable given the small sample. As such, the data presented by this report must be considered nothing more than observations and NOT firm conclusions or generalizations.
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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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».