Estrangeirização de terras nos EUA e a cooperação transnacional dos movimentos sociais: a atuação da USFSA
Notice bibliographique
Résumé
The phenomenon of land grabbing has attracted international attention due to the contradictions and social reactions that involve the progress of this process. The phenomenon generally affects traditional communities in poor or developing countries, however, it has been identified that it is also affecting traditional communities in developed countries such as the USA, Canada, Australia. Thus, this dissertation seeks to analyze the foreignization of land in the USA, that is, the USA as a target for land investments. Starting from the contradictions that involve the acquisition of land by foreigners, the research has the central objective of understanding why social movements cooperate against the foreignization of land based on the actions of the US Food Sovereignty Alliance. In this way, specific objectives were defined to analyze the land foreignization in the USA, to study the literature on the transnational cooperation of global civil society and to analyze the social reactions to the land foreignization in the USA. To achieve the proposed objectives, in the methodological scope, a qualitative research was developed, using the deductive method of analysis. The analysis techniques used were bibliographic review, document analysis, in addition to field research for conducting semi-structured interviews, which also took place in a virtual manner. After constructing the panorama of land alienation in the USA, identifying the scale of the phenomenon, the main actors, areas of investment and socioeconomic consequences, we sought to present the approaches of transnational rural movements, globalization from below and Transnational Advocacy Networks (TAN) as main approaches to understand the relationship between the Independent Variable (VI) and the Dependent Variable (DV). Based on the analysis of the USFSA's performance, we identified that social movements cooperate against the foreignization of land due to the need to respond globally to international private actors who tend to limit access to land by traditional communities. Cooperation, which takes place transnationally, can be considered as the main action strategy of these movements that seek support, solidarity and sharing information and experiences at the international level, without neglecting the valorization of grassroots communities.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,002 |
| 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 ».