Catherine Clémentin-Ojha, Le Trident sur le palais. Une cabale anti-vishnouite dans un royaume hindou à l’époque coloniale. Paris, Presses de l’École française d’Extrême-Orient (Édition-diffusion De Boccard), 1999, 365 p., annexes, gloss., index, ill. (« Monographies » 186)
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
What drives our irresistible attraction to foods like chocolate, fries, or a warm apple pie? Sugar intake triggers the brain's dopamine system, creating a sense of reward that unconsciously conditions a preference for foods that satisfy cravings. Over time, this weakens attraction to healthier, low-fat and low-sugar foods. This response shares characteristics with addiction, sparking the concept of "food addiction." For early humans, this reward-driven behaviour was advantageous, motivating them to seek high-calorie foods essential for survival when food was scarce. Today, however, it fuels a global surge in obesity and diabetes the real "killer" of our times. Additionally, a study on fruit flies (Drosophila melanogaster) found that a sugar-heavy diet reduces sensitivity to sweetness, leading to increased consumption. This phenomenon, like "desensitisation" in humans, suggests that high sugar intake may promote obesity by altering taste perception and reward circuits [May et al., 2019]. The link between sugar-rich diets, obesity, and public health is a critical concern for healthcare professionals, policymakers, and the sustainability of the western healthcare system. A 2024 study published in BMJ [Lara-Castor et al., 2024] revealed that from 1990 to 2018, the consumption of sugar-sweetened beverages (SSBs) in children and adolescents (aged 3-19) from 185 countries rose by 23%, paralleling a global rise in obesity rates in this age group (Fig. 1). The findings highlighted a range of consumption levels influenced by factors like age, parental education, and urban living; however, the overall increase calls for national and targeted approaches to reduce SSB intake. Exactly like the prevalence of overweight (including obesity) among children and adolescents aged 5-19 has risen dramatically from just 8% in 1990 to 20% in 2022. While just 2% of children and adolescents aged 5-19 was obese in 1990 (31 million young people), by 2022, 8% of children and adolescents were living with obesity (160 million young people) [GBD 2019 Risk Factors Collaborators 2020; Okunogbe et al., 2022] (Fig. 2) [Ritchie and Roser, 2017]. Establishing good habits early is vital, as children are highly receptive to new behaviours. Notably, paediatric prevention begins even in the womb [Paglia 2017; Paglia, 2019]: a 2021 Canadian study [Laforest-Lapointeet al, 2021] linked maternal consumption of artificial sweeteners during pregnancy to an increased risk of infant obesity. By examining the gut microbiomes of 100 infants, researchers found that artificial sweetener intake could influence infant gut health and body mass index in the first year of life. The effects of sugar thus begin before birth and extend into early childhood. In Italy, added sugars are often introduced into infants' diets before 12 months, and delayed oral hygiene practices worsen the risks. Parental obesity further correlates with a higher incidence of Early Childhood Caries (ECC), emphasizing the need to address sugar consumption and health habits from prenatal to early childhood stages [D'oria, Bettocchi et al., 2024] Addressing the roots of obesity and diet-related diseases in young populations is therefore crucial and early intervention is key. In Italy, the government is attempting to curb sugar consumption through the so-called "sugar tax," introduced in the 2020 Budget Law. The tax was initially set to take effect on January 1st, 2021; but was postponed to January 1st, 2022. Then to January 1st, 2023; again to January 1st, 2024, and recently postponed once more to January 1st, 2025…Hoping next year will finally be the one!
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.
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 découle