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Record W2211982861

The Roots of American Industrialization

2004· article· en· W2211982861 on OpenAlexaboutno aff
Jean Heffer

Bibliographic record

VenueJournal of the Early Republic · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndustrialisationPopulationBandwagon effectUrbanizationEconomic historyCapitalismGeographerGeographyQuarter (Canadian coin)Competition (biology)Development economicsPolitical scienceEconomyHistoryEconomicsEconomic growthSociologyEconomic geographyDemographyPoliticsArchaeologyLaw
DOInot available

Abstract

fetched live from OpenAlex

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. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score0.157

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.221
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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