Black Market to Blue Chip: \nThe Futures of the Cannabis Industry in Canada
Notice bibliographique
Résumé
The world is changing its mind on cannabis, and we are not in the same world we were in 1923 when Canada first made marijuana illegal to smoke. Culture, technology, knowledge, and people have changed. We have a lot more research, seen first-hand how cannabis can help and hurt people, and heard other’s similar and different stories. How do we apply what we’ve learned about strategy, business, and design to turn a prohibition policy into a regulatory framework? \n \nLegalization of cannabis in Canada has been delayed to after August, if all things go smoothly and there are no additional setbacks. Legalization creates a unique opportunity for Canada to become a global leader in innovation, policy, research, and regulation. While there will be many changes happening simultaneously in the future, the principle domains of inquiry for this research project will be understanding the systems connections and impact of scientific research, technological innovation, regulatory frameworks, short- and long-term economic growth strategies, agricultural and environmental regulations, and cultural change strategies on the possible futures of the cannabis industry in Canada. \n \nDesigning the policy that will create the boundaries for such a complex system means that we need to know all the different moving parts. By understanding the current environmental context and the changes in these systems, a greater understanding of the complexity of connections and the different future scenarios of cannabis legalization can be achieved. These scenarios will provide policy makers, educators, and entrepreneurs with plausible futures that they can use to develop and test drive short- and long-term strategies through, in hopes of turning Canada into a global leader in cannabis and policy innovation. \n \nThe Government of Canada assembled a Taskforce to advise the government on how best to move forward. Within their report, the taskforce identified nine public policy objectives. It’s safe to say that any system that has nine policy objectives is not a simple task and that solution will not happen overnight. In order to protect Canada’s youth from the black market, a system that is accessible, resilient, sustainable, and profitable must take its place. If it is not accessible, people will go back to the black market. If it is not resilient or sustainable, it will not outpace the black market. If it is not profitable, it will not attract participants that are willing to be regulated. If we do not eradicate the black market, they will continue to sell to youth. \n \nCanada should be considering more than two goals, reducing underage access and keeping profits out of the hands of criminals, by casting a wider set of goals that cover more of the legalization ecosystem. By putting environmental restrictions and constraints around cannabis production, Canada can push for innovation in a nascent market. Cannabis agri-tech innovations could then be applied to broader social issues such as food insecurity and climate change. In short, Canada needs to be more ambitious and consider that they are not simply legalizing a plant. They have the opportunity to take a resilient underground market and flip it into an innovation powerhouse.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,007 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,010 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,004 |
| 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».