The role of livestock in developing countries
Notice bibliographique
Résumé
In this issue of the Journal of Animal Science, you will find an invited review by T. F. Randolph and colleagues of the International Livestock Research Institute, Nairobi, Kenya; the Swiss Tropical Institute, Basel; Cornell University, Ithaca, NY; the National Institute of Public Health, Cuernavaca, Mexico; the University of Toronto, Canada; the International Potato Centre, Lima, Peru; the University of California, Davis; and the International Food Policy Research Institute in Washington, DC. This article is based on a presentation made at the symposium entitled, “International Animal Agriculture: Global Livestock and Poultry Issues” at the Joint Annual Meeting of the American Dairy Science Association, the Poultry Science Association, the Asociación Mexicana de Producción Animal, and the American Society of Animal Science (publisher of the Journal of Animal Science), held July 8–12, 2007, in San Antonio, Texas. We invited Dr. Randolph and colleagues to write this review as part of our response to a request from the Council of Science Editors (CSE) to participate in their Global Theme Issue on Poverty and Human Development (http://www.councilscienceeditors.org/globalthemeissue.cfm). As described by CSE, as part of the Global Theme Issue, “Science journals throughout the world will simultaneously publish papers on this topic of worldwide interest—to raise awareness, stimulate interest, and stimulate research into poverty and human development. This is an international collaboration with journals from developed and developing countries.” However, the purpose of our invitation went beyond responding to the Global Theme Issue of CSE. Our purpose was to highlight the importance of livestock in the global effort to alleviate poverty and promote human health, for those involved in livestock research, for policymakers, and those who are the beneficiaries of these efforts. We also wanted to provide a scholarly analysis of the facts as well as some of the misconceptions concerning the contribution of livestock to the health and economic progress of developing countries. In fact, as Dr. Randolph and colleagues observe in their review, “Animal-source foods are particularly appropriate for combating malnutrition and a range of nutritional deficiencies,” and, “livestock clearly offer the most efficient utilization of resources that would otherwise go unexploited…,” and thereby contribute to economic development as well. Thus, “livestock keeping” has been, and will continue to be, integral to improving the well-being of people in developing countries, both from a health and nutrition perspective and from a socioeconomic one. However, as pointed out by Randolph and co-authors, there is a critical need for objective, scientifically sound studies on the role of and methods to promote improved livestock production in developing countries. We could think of nothing more appropriate than a review on this topic for the Journal of Animal Science as part of this global effort to alleviate the suffering of millions of people. To help ensure that they have the intended impact, this editorial and the review article by Randolph and colleagues are being released as open access publications. We offer our sincere thanks to Dr. Randolph and colleagues for their thorough and balanced review of this important topic and to the reviewers and editors involved in bringing this paper to publication.
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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
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 ».