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Record W1540974789

The great industries of the United States

2000· book· en· W1540974789 on OpenAlexaboutno aff
Horace Greeley

Bibliographic record

VenueThoemmes Press , Kyokuto Shoten eBooks · 2000
Typebook
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsIndustrial RevolutionEngineeringSteam engineFrontierWork (physics)Quarter (Canadian coin)Technological changeAgricultureEconomyBusinessCommercePolitical scienceEconomicsMechanical engineeringGeography
DOInot available

Abstract

fetched live from OpenAlex

The technological revolution of 19th century transformed every trade and area of manufacture. Nowhere were changes wrought by application of new machinery and techniques more extensive than in United States, which was by end of century firmly established as world's technological frontier. This work is a source of reference on industrial production in last quarter of 19th century. Written to satisfy the desire upon part of every skilled man to know something of character and pursuits of his fellow-men in every other art of importance, it details techniques, processes and machinery employed in more than 150 countries. The breadth of coverage demonstrates extent of transformation with every sector of economy undergoing fundamental change: agriculture, with extensive coverage of mechanization of farming; transport, not only with coming of railroads, but with constant improvement in carriage manufacture; communications, including development of telegraph and innovations in printing industry; manufacturing, from furniture to emerging chemical industries; defence industry; public and social services with a host of innovations from steam-driven fire engines to improvements in manufacture of artificial limbs. Extensively illustrated throughout, each section includes an overview of technology prevalent in that branch of industry and an outline of most recent innovations.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.094
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.011
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.200
Teacher spread0.183 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations17
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueThoemmes Press , Kyokuto Shoten eBooksSame topicAmerican Environmental and Regional HistoryFrench-language works237,207