MétaCan
Menu
Retour à la cohorte
Enregistrement W308194251

The Use of Metaphors in Dietary Visual Displays around the World

2007· article· en· W308194251 sur OpenAlex

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.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueVisible Language · 2007
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueCulinary Culture and Tourism
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésConsumption (sociology)Food choiceVariety (cybernetics)PerceptionMarketingPsychologyBusinessSociologyMedicineSocial scienceComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Abstract Many countries have developed visual displays summarizing key scientific information on diet and health for the general public. The article analyzes the use of metaphors in dietary visual displays in seven countries. The objective is to examine how spatial organization and its graphical representation reflect conceptual organization. It investigates the correspondences between metaphors, schemas and visual depictions in the diagrams vis-a-vis the nutrition concepts they stand for: Do the displays foster understanding of dietary information? Do they support perceptual inferences? Do they facilitate decision-making in food consumption? Several countries around the world are committed to devising dietary strategies that promote and protect health through healthy eating and physical activity. Many of these countries have delineated national dietary goals and nutrition systems in the form of food-based dietary guidelines. Guidelines are educational tools designed to provide practical guidance with the purpose of promoting wellness and preventing chronic diseases among the general public. They synthesize current scientific research as well as national food consumption patterns and policies (e.g., Truswell, 1987; FAO, 1996; Painter, 2002; WHO, 2003). In many cases, they also reflect the influences of the local food industry (Nestle, 2002). National food guidance systems vary according to geography, cultural and ethnical traditions and year of publication.Most systems share a common set of wellness principles that promotes variety in food intake, emphasizing the consumption of fruits, vegetables and grains and limiting the consumption of fats. A recent trend is acknowledgment of different nutritional requirements for different age and gender. For example, the most recent American (USDA, 2005) and Canadian (Health Canada, 2007) food guidance systems offer online tools with personalization of food recommendations. Dietary guidance systems are disseminated in various ways, including brochures, labels with nutrition information on packaging and most recently online resources. Most countries provide a visual display presenting the key concepts. These graphics may considered snap-shots of the dietary guidelines. The World Health Organization (WHO) emphasizes the need for visual graphics by recommending that the guidelines should be accompanied by posters or food selection guides. These visual guides should assist users to select a diet... reflect a concern for promoting food choices ... culturally inclusive and incorporate foods that are generally available.... In addition a guide should based on sound educational principles and accessible to a wide range of educational levels (2003, p. 6). This article examines eight dietary visual displays of seven countries: Australia (figure 7), Canada (figure 5), China (figure 6), Portugal, (figure 2) Sweden (figure 4), the United Kingdom (figure 3) and the United States (figures 7 and 8). Dietary visual displays The graphics examined in this article represent information that is not inherently visible: a healthy diet. The concept of a healthy diet involves many aspects, among them nutrition advice. Because nutrients are a hard concept to grasp, all countries provide information about food, which is a concrete entity. All graphics categorize food according to nutritional properties. Information is presented in the form of food groups (e.g., Milk and Dairy Products). Each group is represented by a selection of food choices (e.g., milk, yogurt, cheese). Quantitative information is measured in terms of recommended daily servings for each group (e.g., gram, ounce, cup). The number of food groups and the suggested servings vary depending on the country and the year of publication (e.g., Truswell, 1987; FAO, 1996; Painter, 2002; WHO, 2003). In the selected food diagrams the country with the largest number of food groups is Portugal, with eight groups. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,692
Score d'incertitude au seuil0,965

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,033
Tête enseignante GPT0,277
Écart entre enseignants0,244 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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