Editorial: Hunger, Food Sovereignty and Public Health
Notice bibliographique
Résumé
The escalating environmental and social crises have long warned of worsening challenges related to food security and sovereignty (1). However, the COVID-19 pandemic revealed the fragility of food systems across geographic scales. In Latin America, 247.8 million people in 2022 were forced to reduce the quality or quantity of their food, experienced hunger, or went days without eating (2). The current climate crisis has emerged as a significant public health challenge due to its direct and indirect impacts on various dimensions of well-being. Notably, the second goal of the 2030 Agenda for Sustainable Development Goals-"Zero Hunger"increasingly appears unattainable, partly because of climate change (3). Unsurprisingly, the impacts of climate change are unevenly distributed across regions and social groups. For example, 95% of crops in Africa rely on rainfall for irrigation, making the continent particularly vulnerable to climate variability, such as unpredictable rainfall patterns. Conversely, California irrigates 90% of its crops with advanced technology, yet much of this agricultural production is industrial (4).Hunger is not merely an environmental or technical issue-it is a political one. Decisions made by those in power directly affect what families can place on their tables daily. While technological innovations play a role in increasing food production, addressing hunger requires broader measures. These include ensuring adequate and sufficient land for food cultivation (e.g., agrarian reform), promoting agroecological models that counter industrial monocultures, protecting marine ecosystems, and advancing fair trade in food markets. States must also confront violence against environmental leaders and improve public awareness, as misinformation about the climate crisis, its drivers, and the role of the agribusiness industry continues to spread through mass media and social networks (5).In response to these challenges, international technical cooperation agencies have proposed various agendas to mitigate global hunger. Meanwhile, communities persist in their resistance and develop collaborative initiatives to ensure food security in rural and urban areas. For example, La Vía Campesina continues to advocate for food sovereignty, while agroecological family farming initiatives are gaining momentum in rural Colombia (6). This special issue features seven papers that explore diverse strategies and innovations aimed at addressing the multifaceted challenges of hunger and public health. They highlight how to integrate food insecurity into routine clinical care to improve risk assessment and management in patients (7); examine the unique challenges of food insecurity faced by older women, less educated individuals and those in impoverished geographic areas in Thailand (8); demonstrate that food bank users in Canada exhibit diverse strategies to cope with food insecurity (9), show how community initiatives (e.g. communal kitchens) proved more effective than food distribution platforms in addressing hunger and fostering social solidarity during the COVID-19 lockdown in Colombia (10); call for a paradigm shift from viewing recipients of nutrition programs as beneficiaries to acknowledging them as human rights holders and policy allies (11); and propose evidence-based strategies to eradicate hunger (12). Additionally, these papers serve as examples of measuring food insecurity and other relevant methods.The current food landscape is undeniably complex and demanding. Despite significant progress over recent decades, hunger remains a grim reality for millions. The guiding principle for addressing this challenge must be the universal right to food. Achieving this requires medium-term investments in early warning and rapid response systems to prevent and mitigate food crises, alongside long-term local and international actions grounded in environmentally respectful agroecological agriculture and the production of nutrient-rich foods. Let us strive for a world where food security is not a privilege but a fundamental right, achieved through collective commitment, equity, and sustainable practices.
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 | 0,006 | 0,030 |
| Méta-épidémiologie (sens strict) | 0,006 | 0,002 |
| Méta-épidémiologie (sens large) | 0,006 | 0,004 |
| Bibliométrie | 0,005 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,005 |
| Communication savante | 0,010 | 0,006 |
| Science ouverte | 0,006 | 0,002 |
| Intégrité de la recherche | 0,027 | 0,024 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,039 | 0,020 |
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 ».