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Enregistrement W2899174632 · doi:10.1215/00182168-7160732

San Miguel de Allende: Mexicans, Foreigners, and the Making of a World Heritage Site

2018· article· en· W2899174632 sur OpenAlexaboutno aff
Andrew Paxman

Notice bibliographique

RevueHispanic American Historical Review · 2018
Typearticle
Langueen
DomaineSocial Sciences
ThématiquePhilippine History and Culture
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésContext (archaeology)ExpatriateAllende meteoriteTourismFace (sociological concept)Agency (philosophy)Political scienceHistoryHumanitiesEconomic historyEconomySociologyArtArchaeologySocial scienceEconomics

Résumé

récupéré en direct d'OpenAlex

Pulitzer Prize–winning poet W. D. Snodgrass once said of his wintering in San Miguel de Allende: “I think it pays to get out of your mother country, the place where you formed your basic restraints and limitations.” Echoing that sentiment, and drawn by cheap living in a colonial town, hundreds of foreign writers and artists have settled in this central Mexican locale since the 1930s. So have thousands more who simply craved a sunny place to retire, where domestic help and nursing cost a fraction of what they do at home. Annual legions of tourists have followed. San Miguel is not unique, havens of US and Canadian retirees now dotting Mexico from Ensenada to Mérida, but it was probably the first such enclave and is certainly the best known.San Miguel is therefore worth studying for what it suggests about the long-standing expatriate presence in Mexico, its cultural and economic impact, and the agency of townspeople in the face of foreign spending power and governmental designs to harness it. Lessons learned here (in an academic sense, but also in a public policy sense) can be applied elsewhere. Lisa Covert's San Miguel de Allende is thus an important addition to our understanding of modern Mexico as well as a rare case of taking Mexican tourism studies into a city-specific context. Strange as it may seem, we still await book-length scholarly histories of Acapulco, Cancún, and (post-1940) Tijuana and Mexico City.The popular view of San Miguel (not least among its expats) is that its growth as a bohemian and tourist mecca was driven by entrepreneurial foreigners. Covert acknowledges their crucial role, but she reveals that it was Mexican opera singer José Mojica who first put the town on the cosmopolitan map, and she challenges on various fronts the notion of outsiders rescuing San Miguel from underdevelopment amid local passivity. Many townsfolk advocated for textile production over tourism, and the success for many decades of the mill La Aurora shows a path that could have been taken had not state authorities excluded San Miguel from industrial initiatives. Concerted resistance came from activist Catholics, especially parish priest José Mercadillo, who for 30 years railed against corrupting influences; his sermons were echoed in the press and likely helped contain the presence of beatniks and hippies, who in one celebrated instance were jailed and forcibly shaven. In the struggle for the town's economic soul the Yankee dollar won, but many locals remained unsatisfied and many saw little benefit.In her final chapter, on the period from the 1970s to 2001, Covert questions the impact of expatriate hiring practices and philanthropy, contending that the former feminized the economy by offering little to male workers while the latter “reproduced the very structural conditions that exacerbated poverty” (p. 150). The chapter is both fascinating and problematic. While the author illustrates how expats paid their maids unfairly low wages (and how some maids launched successful challenges over unfair dismissal), she omits to say whether the local wealthy did any differently. Her economic critique of expat philanthropy is speculative and would properly require engagement with statistical and qualitative data. On the other hand, her general point that San Miguel has functioned as a model for neoliberalism—with attendant inequalities, such as those caused by escalation in downtown property values and rents—is suggestive and troubling.With its orange-hued packaging, featuring a gorgeous screen print of the city, Covert's book calls out to be picked up. But the text rather lacks the color that its cover implies, limiting both its readerly appeal and its sense of contingency. The author declines to let principal players come to life, either by rendering them as individuals—as opposed to representatives of a given faction—or by quoting them. The priest Mercadillo emerges as a mere embodiment of provincial conservatism. An amusing passage in which an expat waxes on “gracious living” proves all too rare (p. 176). Greater attention to character and ambience would not necessarily have lengthened the text, for the analytical passages include much repetition that could have been shorn. San Miguel boasts 16,000 foreign residents and hundreds of thousands of annual visitors, some of whom might have been prompted to rethink their imprint by prose of greater ambition.Yet as a work of scholarship, Covert's study is invaluable. Few monographs on modern Mexico interweave culture, economics, and politics so seamlessly and (for the most part) persuasively. Its breadth of sources includes several private archives and interviews with dozens of residents. The study enriches the historiographies of Mexican-US relations, Mexican industrialization, cultural imperialism, gender, and inequality. Although jargon creeps into the latter chapters, the style is uncomplicated. Given these advantages and a longue durée scope, running from 1935 to the near present, San Miguel de Allende is instructive reading for a host of scholars and eminently assignable to undergraduates.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut 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: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,889
Score d'incertitude au seuil0,839

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,002
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,024
Tête enseignante GPT0,306
Écart entre enseignants0,282 · 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 tête enseignante, 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
GenreEmpirique

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

En bref

Citations12
Publié2018
Routes d'admission1
Résumé présentoui

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