SOCIO-ECOLOGICAL THEORIES AND EMPIRICAL RESEARCH. COMPARING SOCIAL-ECOLOGICAL SCHOOLS OF THOUGHTS IN ACTION
Notice bibliographique
Résumé
Environmental problems, at local scale as well as global scale, are now considered as key issues and scientists are encouraged to be part of the process to address these issues. For the last decades, scholars have been focusing on the study of interactions between social dynamics and ecological processes and produced a set of concepts and scientific discourses aiming at framing the analysis of socio-ecological dynamics and eventually at orienting interventions. Scientific discourses are produced by scholars who belong to different groups (resilience, vulnerability, political ecology, commons, robustness ¿) which identity go beyond disciplines, methods, frameworks and concepts and include a collective history on the evolution of ideas and research organization. Different research units based in Montpellier (France) have been conducting research on socio-ecological systems (SES) to understand many types of relationships, including those between agriculture and biodiversity, policies and landscapes dynamics, watershed management, ecosystem management and health risk. A project named SETER (Socio-Ecological Theories and Empirical Research) was elaborated aiming at assessing the relevance and the complementarities of theoretical frameworks by applying and testing them on several empirical research case studies developed by the participating research units based in Montpellier. We have confronted different scholars, holding the flags of different schools of thought, to the same concrete issues. The purpose of this assessment was to clarify the respective potential of the different theoretical frameworks and to provide the basis for new conceptualizations of socio-ecological systems dynamics and management. Although some authors call for an integrated framework and some advocate for the diversity of explanations, both agree on the fact that there is a need for clarification for a better scientific debate and better interactions with the managers, stakeholders and interested people. The scientific debate remains obscure when it is based on abstract developments. This report presents the material of this experiment, the interaction process and the lessons on the schools of thought and methodologies. Firstly, we introduce briefly the different schools based on the literature and on the presentations given by the invited scholars. Then we introduce the four case studies which were analyzed by the invited scholars and report on the interactions and their results. Then we present a discussion proposing a classification of the different perception of change which crosses the different schools.
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 | 0,018 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,001 | 0,003 |
| 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 ».