Eating identity: challenging narratives of Canadianness through culinary identity building
Notice bibliographique
Résumé
This MRP will examine how food can be used as a tool for challenging traditional nation stories and growing notions of what it means to be Canadian. There is an opportunity to write and shape a Canadian narrative that is inclusive of its evolving demography while simultaneously reconciling its violent history by developing a Canadian culinary identity. Food is political, social and cultural. Food can bring people together and can provide a platform to have compelling discussions about what it means to be Canadian; who is included in the definition of Canadian; and, how we can develop a sense of Canadianness that speaks to an evolving population. Historically and at present, Canada’s story has often excluded or minimized the cultural, political and social contributions of Indigenous peoples and racialized immigrants. There remains a prevailing sense of Canadian identity being tethered to whiteness despite over a century of global immigration. However, the very idea of what defines Canadianness is relatively tenuous one. There are few traits, markers, or qualities that are seen as characteristically Canadian. This is even more true for Canada’s culinary identity. What exactly is Canadian food? Canada, as a nation, is a relatively new country without a clear culinary identity. Further, Canada is an expansive land mass covering different time zones, geographic regions, and climates. To further complicate matters, it is place for people from all over the world to immigrate. Nowhere is the impact of immigration and the diversity of people more evident than in Toronto. How the city has changed demographically is reflected in the diversification of it’s culinary landscape. The wide range of available foods reveals and affirms how the appetites and desires of those that live here have also changed. International foods, restaurants and markets are not only ubiquitous, but a defining characteristic of the city. Where, what and how people eat can provide insight into how historical systems of inequality and colonial narratives persist. Growing and developing Canadian culinary identity is a way of challenging the idea of whiteness as a prerequisite for being Canadian. It is a potential way to acknowledge and include immigrant contributions. Food is wrapped up in politics of inequality and injustice, just as much as it is in pleasure and desire. Mapping how food is used as a tool that furthers colonization and racist dogma is key for shifting food to a tool for education and understanding. Food has the power to open up conversation and reshape understandings of Canadian identity through developing and defining a distinct Canadian culinary position. If an understanding about Canadian culinary identity is inclusive of its complex and divergent cultural and political history, then perhaps there is an opportunity to rethink Canadian identity as a whole. The goal of this MRP is to establish that food can be used as an ideological intervention that examines, challenges and reimagines Canadian identity.
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 | 0,009 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,068 | 0,050 |
| Communication savante | 0,020 | 0,009 |
| Science ouverte | 0,003 | 0,013 |
| Intégrité de la recherche | 0,003 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 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 ».