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Enregistrement W4399164135 · doi:10.1353/his.2024.a928552

Making Muskoka: Tourism, Rural Identity, and Sustainability, 1870–1920 by Andrew Watson (review)

2024· article· en· W4399164135 sur OpenAlexvenueaboutno aff
Peter Stevens

Notice bibliographique

RevueHistoire sociale · 2024
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueFinancial Crisis of the 21st Century
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWatsonSustainabilityTourismIdentity (music)Rural tourismSociologyPolitical scienceArtTourism geographyAestheticsComputer scienceLawEcology

Résumé

récupéré en direct d'OpenAlex

Reviewed by: Making Muskoka: Tourism, Rural Identity, and Sustainability, 1870–1920 by Andrew Watson Peter A. Stevens Watson, Andrew – Making Muskoka: Tourism, Rural Identity, and Sustainability, 1870–1920. Vancouver: UBC Press, 2022. 280 p. Tourism history tends to privilege the activities and perspectives of travellers and promoters, with the experiences of local populations going unexamined. No such criticisms can be made of Andrew Watson's new book. Muskoka, situated 150 kilometres north of Toronto, is one of Canada's famed tourism regions; its [End Page 232] emergence during the late nineteenth century as a site of lavish lakeside hotels and summer homes has been recounted in both scholarly works and numerous popular histories. Making Muskoka turns this familiar story on its head by focusing on the Indigenous people and non-Indigenous settlers who made tourism possible in Muskoka. In addition, it highlights the material realities that have shaped human relationships with this iconic landscape. Watson is particularly interested in the socio-economic and environmental conditions that gave rise to tourism in Muskoka. The concepts of rural identity and sustainability are central to his analysis. Noting that scholars often take "rural" simply as a synonym for "agricultural," Watson shows that in Muskoka, farming combined with other forms of economic activity to create a distinct, multi-dimensional rural identity. Moreover, this identity arose not just from social interactions, but through engagement with a specific material environment, and it evolved over time. As circumstances changed, the various dimensions of rural identity in Muskoka became more or less sustainable, with sustainability here referring to "the potential for a society… to reproduce patterns of economic exchange, social relationships, and environmental conditions" (p. 12). As Watson explains, Euro-Canadians began settling in Muskoka around the time of Confederation. Impressed by the region's forests, governments offered free land grants to aspiring farmers, confident that they could extend the ordered, agrarian society that was taking root in what is now southern Ontario. Almost immediately, however, the environmental realities of the Canadian Shield served to frustrate these plans. Muskoka was a patchwork of lakes, swamps, and rocky outcroppings, and where arable land did exist, the soils were poor. Many would-be farmers soon abandoned their lands, and those who remained were forced to find alternative sources of income. Adopting a strategy of "occupational pluralism" (p. 5), they hunted and fished, and took part-time work related to forestry and, especially, tourism. Indeed, Watson argues, tourism's co-evolution alongside farming and logging during the first generation of Euro-Canadian settlement granted Muskoka a rural identity that was distinct in North America. The same environmental features that made Muskoka unsuitable for farming made the region attractive to the wealthy, leisured classes in the cities of southern Ontario and the north-eastern United States. The first tourists and the first settlers came to Muskoka concurrently, and after the railway arrived in the 1870s, luxurious hotels and private summer homes mushroomed around the region's lower lakes. Tourism was a boon to Muskoka's struggling settlers, although they benefited unevenly, as Watson observes. Those who owned lakeside property built hotels or sold off lots for cottage development, transforming their marginal farms into flourishing resorts. Some even launched steamboat enterprises that transported tourists, or delivered local food and other provisions to isolated hotels and cottages. Settlers whose property was located in the backwoods were less fortunate, although some produced goods that they then sold to tourists, such as fruit and vegetables, meat, eggs and dairy products, and cordwood. Watson identifies forestry as a further aspect of rural identity in Muskoka. During the last three decades of the nineteenth century, many settlers spent part of [End Page 233] the year harvesting white pine for sawmills, and hemlock bark for local tanneries, which used it as a dyeing agent. These large-scale forestry operations damaged the ecology and moved on once the desired trees had been harvested, so the benefits to locals, though significant, were short-lived. More sustainable were the small-scale techniques that settlers used to harvest wood resources on their own properties, an approach that caused less environmental harm and endured long after commercial operations had ceased. Of course, Muskoka...

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,968
Score d'incertitude au seuil0,063

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0030,007
Études des sciences et des technologies0,0010,001
Communication savante0,0020,003
Science ouverte0,0010,001
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0060,002

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.

Tête enseignante Opus0,022
Tête enseignante GPT0,263
Écart entre enseignants0,241 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission2
Résumé présentoui

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