Organic Research and Development in Denmark (1996-2010) – Effects on the Organic Sector and Society
Notice bibliographique
Résumé
The ICROFS (International Centre for Research in Organic Food Systems) has conducted an analysis of the effects of organic research in Denmark (1996-2010) on the Danish organic sector and on society in general. Over these 15 years, three national programs and one program with European collaboration have been implemented in Denmark, financed via special government grants that amounted to just over 500 million DKK (approx. € 67 million—or approximately $ 80 million). The analysis itself was carried out as a compilation of information from three perspectives, each of which has been independently documented: Interviews with (representatives of) end-users of results from research and development (R&D) investigating their assessment of the challenges in the sector and solutions developed from 1996-2010Assessment of the R&D endeavours in different thematic areas (dairy/milk, pigs, crops, etc.) as they related to end-users and the stated challenges at that timeDocumentation of the dissemination of R&D results in relation to themes and challenges in the sector The results showed very good correspondence between end-users’ perceptions of the challenges overcome in the sector, the R&D initiated in the research programmes, and the dissemination of research results and other forms of knowledge transfer. The analysis documented direct effects of the research initiatives targetting the challenges in the sector such as higher yields, weed and pest control, animal health and welfare, the potential for phasing out the use of antibiotics in Danish dairy herds and reducing the problems caused by seedborne diseases. It also describes where research did not contribute as much to overcoming challenges. In contrast, the analysis showed that the effects of the research in the organic processing industry and among relevant governmental and non-governmental organisations were of a more indirect character. Research has helped stabilize the supply and quality of raw materials at a time of growing demand and sales. Organic research also generates new knowledge and leads to new opportunities that can provide inspiration for a green conversion, product diversification and growth also in conventional agriculture. The analysis showed that research under the national research programs overall have been very applied and directed at the barriers in the sector in order to support the general market and growth conditions for the organic sector. Having laid a solid foundation, the private sector has been able to take advantage of commercial opportunities when demand grew, while adhering to the organic policy objectives of the market-driven growth in the organic sector.
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 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 | 0,005 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,002 |
| 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, 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 ».