Notice bibliographique
Résumé
The Roots of American Industrialization. By David. R. Meyer (Baltimore: Johns Hopkins University Press, 2003. Pp. xi, 333. Illustrations, maps. Cloth, $45.00)Geographer David R. Meyer published several seminal articles in the 1980s on the origins and the growth of the manufacturing belt in the Northeast quarter of the United States. Some of his conclusions are briefly summarized in the last chapter of the present book, where he shows how the Midwest seized a window of opportunity while the South was unable to jump onto the bandwagon. Now, focusing on the roots of eastern industrialization, he convincingly demonstrates the limits of the transition to capitalism interpretation.The East industrialized, Meyer contends, not because its agriculture was declining due to poor soils or competition from western products, but, on the contrary, because its farmers were prosperous and could constitute a market for the articles made in workshops and factories. This main argument is based on statistics of population: In 1820, when industrialization had already started, 89 percent of the people inhabiting the East lived in rural places (82 percent in southern New England, the most industrialized part of this region); twenty years later, the proportion was still 81 percent.According to Meyer, no full explanation of the puzzle of eastern antebellum industrialization may be based on interregional or foreign trade or on urbanization; it has to take into account the rural population and its main activity, agriculture. Far from being in bad shape, the eastern farmers were prosperous: they adapted themselves to the market (according to the famous Von Thunen rings) and produced surpluses that fed the urban residents and allowed some of their sons and daughters to migrate to the workshops and factories. They could do so even if they were not located near a canal because transportation by wagons on the turnpikes was competitive, except for low-value goods in bulk.Meyer doesn't simply intend to rehabilitate agriculture; his thesis is much more sophisticated. It is the close integration of agriculture and industry that may explain why the East became a manufacturing belt before the Civil War. The author weaves a fine fabric where technology, finance, business acumen, and social networks all play a role. The model is illustrated by case studies-geographical (metropolises, like Boston, New York, Philadelphia, and Baltimore, or states, like Massachusetts and Connecticut) and sectoral (textiles, shoes, hats, brass, clocks, etc). David Meyer has an acute sense of both chronology (his book is divided in two parts: before and after 1820) and locality. …
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Comment cette classification a été obtenuedéplier
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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; un appel candidat d’une seule tête enseignante, 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 ».