Digital Agricultural Space Construction and Practice in the Context of Rural Revitalization: A Case of the Tea Industry in Zijin County, Guangdong Province
Notice bibliographique
Résumé
With the promotion of China's rural revitalization strategy, rural industrial formation based on digital technology is increasingly emerging. How digital technology stimulates rural industrial development as a new infrastructure force and guides the transformation and reconstruction of rural space has become a topic of concern for the Chinese government. Using field research and semi-structured interviews, this research took the tea industry in Zijin County, Guangdong Province, as an example to explore the digital construction process of rural agricultural space. Furthermore, it focused on how digital technology promoted the social and spatial organization transformation of rural areas and analyzed the operation mechanism of digital agricultural space. The main findings of this study are as follows: (1) The introduction of digital agricultural technology realizes real-time monitoring of the production space, which helps break the "black box" dilemma arising from the physical isolation of the production and sales sides, and promotes the construction of a logic for agricultural modernization operations. To support the routine operation of the technology platform, digital infrastructure and the introduction of skilled human resources stimulated the creation of new rural spatial functions. 2) Differences in the digital practices of different rural entities were observed. First, targeted digital agricultural space construction leads to differences in resource allocation among rural enterprises of different scales, which intensifies the differential development of rural space construction. Second, the top-down-led digital construction of rural areas has differences between the implementation strategies of governance subjects and the actual needs of local enterprises. This is mainly reflected in the lack of coupling between the integration of digital infrastructure resources and the granting of hierarchical technical knowledge. In addition, grassroots farmers form cognitive inertia to traditional production models and have insufficient knowledge of digital technologies, making it difficult for them to participate in the everyday construction of digital rural discourse systems. 3) Digital technology is leading the rurality turn, i.e., features digital intervention in the construction of agricultural space. Under the discourse of precise poverty alleviation and rural revitalization, the logic of digital rural operation in Zijin County centers on the three-subject framework of government, enterprise, and villagers. With the intervention of digital technology, a hybrid of multiple subjects, networks, and meanings guides the structural transformation of rurality. Overall, digital technology has triggered a reconfiguration of the spatiality of the Chinese countryside. On the one hand, it drives the spatial transformation of rural areas by guiding the transformation of rural social and spatial organization. On the other hand, the current top-down digital technology sink model of rural areas needs to be further improved due to the differences in multiple subjects in rural areas. To broaden the effectiveness of digital technology in promoting the development of rural areas, future construction of digital rural areas should deepen the bottom-up participatory transmission path and guide the participation of more diverse rural subjects.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| 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 | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,009 | 0,008 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».