Cultural roads and Itineraries : Concepts and cases
Notice bibliographique
Résumé
Like many academic projects, this book results from a series of reflections \nthat converged over the years. At the time of this book’s conception, \nAurélie Lacassagne and Jonathan Paquette had been working together \nfor years on a number of collaborative projects—the most important of \nwhich related to “terroir” and cultural industries in Canada. As such, this \nproject evolved from a variety of fieldwork that took place throughout \nthe provinces of Ontario and Québec, wherein the place of roads became \nsalient. Roads were a way of narrating regions, of narrating identity; roads \nenabled the stories of Canadian terroir that had only very recently been \ncrafted. Roads, in a sense, provided spatial support for the implantation \nof terroir’s imaginary. Outside of this collaboration, roads have been an \nimportant part of Aurélie’s theoretical approach to French-Canadian and \nFrench-American literature. The importance of roads has also emerged \nin Jonathan’s fieldwork in Asia. In Hong Kong, heritage and nature trails \nare an important component of the local cultural scene. While Jonathan’s \nwork focuses on museums and heritage policies, roads revealed another \ndimension of heritage in Hong Kong. Similarly, Christophe Alcantara’s \nv \nvi Preface \nwork in communications and on the use of social media reached an interesting \nturning point when he took an interest in the representations of \nroads and selves on Instagram. Studying the social media practices of \nhundreds of Instagram users, Christophe’s work found patterns in the \npicture-taking practices of users’ that suggested their selfies were not as \nshallow as one might think; the roads portrayed in these images often \nrevealed a new sense of spirituality and depth to those who took the \npictures. \nThese different ideas and perspectives on roads converged in 2018, \nwhen we all met in Montréal for the Société Québécoise de science politique’s \nannual meeting. This was the occasion where many of the ideas \nthat are discussed in the pages of this book first took form. \nIt is with all of this in mind that this book aims to achieve two \nobjectives. First, the book aims to discuss roads from an interdisciplinary \nperspective; it unites ideas, concepts, and notions from a number \nof different disciplines: history, geography, economics, political science, \nliterature, philosophy, and many others. As such, the book engages with \nthe works of many important philosophers and social scientists—notably \nDeleuze, Bakhtin, Heidegger, Simmel, Castells, among many others. \nSecond, this book focuses on cultural roads, bringing us closer to disciplines \nthat have already engaged with the cultural dimensions of roads, \nitineraries, paths, or routes. Notably, tourism studies, heritage studies, \nleisure studies, and regional development have all contributed to frameworks \nand concepts that further the understanding of the cultural aspect \nof roads. Thus, this book engages with the rich work that has emerged \nin these disciplines since the early 2000s and with greater force since the \n2010s. The cases discussed in this book further the ongoing discussions \nand debates around the cultural aspect of roads; the cases we have selected \nand the approach we have privileged explore new concepts and test the \nboundaries of this object of study.
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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 | 0,004 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,003 | 0,007 |
| Études des sciences et des technologies | 0,027 | 0,054 |
| Communication savante | 0,025 | 0,018 |
| Science ouverte | 0,004 | 0,017 |
| Intégrité de la recherche | 0,005 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,002 |
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 ».