Notice bibliographique
Résumé
Supporters of GM agriculture have had a long row to hoe in achieving public acceptance for the safety of this important technology. Controversy has surrounded the foundational technology of recombinant DNA methods, the application of genetic engineering to crop plants and livestock, the safety of GM “Frankenfoods” as sources of human and animal nutrition, the potential environmental threats posed by the possible development of GM “superweeds,” and the corporate control over GM agriculture exercised by a relatively small number of agricultural companies armed with vast financial resources and powerful patent portfolios. Nevertheless, as exemplified by the United States and Canadian Supreme Court cases, Diamond v. Chakrabarty, J.E.M. v. Pioneer Hi-Bred, Monsanto Canada v. Schmeiser, and Monsanto v. Geertson, the law, and the society it reflects, have finally managed to accommodate the important technology of GM agriculture. However, a new paradigm in biological science — synthetic biology — has begun to remake the face of GM agriculture. Synthetic biology seeks to purge biology of some of its fundamental inefficiencies through the rigorous application of engineering principles. Rather than tinkering around the edges, biological engineering would remake living organisms from first principles, and employ standard parts to make qualitatively new biological devices and systems. Traditional arguments that GM crops and livestock are simply slightly-modified versions of their conventional counterparts may no longer be either appropriate or accurate in the face of synthetic biological approaches to engineering new plants. Moreover, both synthetic biology and do-it-yourself biology (“DIYbio”) seek to shift biological research and development out of traditional laboratories and the hands of credentialed biologists, and, instead, allow any interested and motivated user to become a research biologist, biotinkerer, or synthetic biological engineer. Home and community laboratories are already springing up at a rapid rate, and farm laboratories are sure to follow, as participation in this new, open, and democratized movement burgeons. In short, large numbers of individual and collaborating users, spread over many small and local laboratories, are beginning fundamentally to reengineer genes, cells, organisms, and systems composed of organisms or their substituent parts. The comfortable acceptance of GMOs at which society has only recently begun to arrive may soon be misplaced in the face of both fundamentally new scientific approaches and the democratization of innovation. The results for agriculture may be beneficial: enhanced rates of agricultural innovation through new biological approaches and wide participation. Moreover, synthetic biological agriculture (“synagriculture”) may prove to be as safe as GM agriculture or even conventional agriculture. However, assumptions about current GM crops and livestock may not easily apply to synthetic versions, nor may the current paradigm of GM regulation be possible when innovation becomes atomized among millions of farmers. Some of the “settled” legal issues surrounding GM crops and livestock may have to be revisited as new perceived or actual threats and benefits arise. One irony may be that the same patent system that has so often been criticized in the past for providing agricultural companies with too much control over farmers may soon represent one of the most effective methods for monitoring and regulating GM agricultural innovation. Although some farmer innovators may eschew patent coverage for their agricultural inventions, others may opt to seek patent protection for their innovative new synthetic crops and livestock. Because the USPTO will have to examine any new GM crop inventions prior to issuing letters patent, disclosures to the USPTO synthetic biological inventors who opt for patent protection may become a vital centralized locus for monitoring and regulating otherwise highly-decentralized synagricultural innovation. New methods of biological engineering and new models of user, collaborative, and open innovation are soon to affect the trajectory of GM agricultural innovation. Even if such changes turn out to be salutary, they will be changes nevertheless. To ensure that society receives the full benefits of open and democratized synthetic biological innovation in crops and livestock, it would be well and wise for the law to prepare itself to reexamine the brave new world of synagriculture with brand new eyes.
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 | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».