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Enregistrement W6986924611

Resource catalog of information on agricultural best management practices that positively influence climate change

2001· report· en· W6986924611 sur OpenAlexaboutno aff

Notice bibliographique

RevueThe Atrium (University of Guelph) · 2001
Typereport
Langueen
DomaineEnvironmental Science
ThématiqueClimate Change and Environmental Impact
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésClimate changeAgricultureBest practiceGreenhouse gasGovernment (linguistics)Resource (disambiguation)Resource management (computing)Climate change mitigation
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

For several years now the debates over climate change have focused on factors such as the sources of greenhouse gas (ghg) emissions and how they negatively affect our climate. Canada’s agriculture industry has been identified as a contributor to these ghg emissions. Although agricultural producers (both grain and livestock) can be considered as a source of ghg’s, they should also be considered as part of a national mitigation strategy to reduce ghg’s when they adopt agricultural best management practices for climate change. Many producers have already adopted best management practices through conservation land management strategies. Many more are being made aware of the potential for the agriculture industry to reduce ghg’s and helps to meet our international commitments under the Kyoto Protocol. One method of making Canada’s agriculture producers aware of how to reduce ghg’s and how they can contribute to climate change is to provide them with a catalog of where to find information on agricultural practices as they relate to climate change. This publication is the result of a two-month literature search that compiled extension and research information for producers to help them better understand climate change and how the adoption of best management practices can positively affect our climate. Over two hundred agrologists, researchers, government extension specialists and producer groups across Canada and the United States were contacted and asked to provide information for the catalog. In addition the Internet was thoroughly searched to identify sources of information on climate change and carbon sequestration in relation to agricultural practices. In Canada the task of creating extension materials for producers has been that of provincial agriculture departments and the major agriculture producer groups with Agriculture and Agri-Food Canada providing research results for the development of extension materials. In the U.S. much of the available information has been developed through the USDA, several universities and through privately funded groups. The majority of the information in this catalog has come from these sources in Canada and the US. Much more information will be forthcoming, however, as many research programs initiated in the past few years will yield results in the near future for extension materials. As this material will be generated through existing organizations, departments and institutions, a list of contact information and people has been included in the catalog. These contacts should be considered as valuable sources of future information and material. The catalog Table of Contents lists the categories of materials with sub-categories for fact sheets, brochures, news articles, research reports etc. Individual items under each category are listed alphabetically by title or source whichever is more significant. The reader will note that some of the materials are not published specifically as climate change best management practices. I have included these materials as they are good information sources on agricultural best management practices that are considered as positive contributors to climate change even though they are not noted as such in the text. This catalog should not be considered as a complete listing of extension materials or contributors to this information. Climate change information is constantly being produced and may not have been identified or even available during the literature search. The catalog should, however, adequately function as a starting point for producers in their search for information on how to raise agricultural products while doing the best job of protecting the environment and climate.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,017
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,459
Score d'incertitude au seuil0,772

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,017
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0250,058
Études des sciences et des technologies0,0020,001
Communication savante0,0050,005
Science ouverte0,0030,002
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,4590,230

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 Opus0,057
Tête enseignante GPT0,256
Écart entre enseignants0,200 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreJeu de données

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2001
Routes d'admission1
Résumé présentoui

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