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Record W2560015365 · doi:10.1093/ahr/121.5.1673

Evan Friss. <i>The Cycling City: Bicycles and Urban America in the 1890s</i> .

2016· article· en· W2560015365 on OpenAlexaffabout
Christopher Armstrong

Bibliographic record

VenueThe American Historical Review · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsYork University
Fundersnot available
KeywordsCyclingEnthusiasmLeagueClubQuarter (Canadian coin)HistoryAdvertisingBusinessArchaeologyPsychology

Abstract

fetched live from OpenAlex

Why did the U.S. undergo a sudden upsurge in cycling in the last five years of the nineteenth century? The production of bicycles, which had been only a few thousand a year up to 1893, suddenly began to shoot upward, reaching over 400,000 in 1895 and numbering nearly 1,200,000 by 1899 (34). One obvious answer was that the “pennyfarthing” cycle, with its pedals mounted directly on the hub of the large front wheel, which had been difficult to mount and ride, disappeared from usage. What succeeded it was the “ordinary” cycle with two wheels of equal size with a central pedal crank and a chain drive to a gear mounted on the rear axle. Not only were these models easier to master, but the frame could be modified by eliminating its top bar so that women could use them without a loss of modesty. Evan Friss’s The Cycling City: Bicycles and Urban America in the 1890s examines this “craze” (to use a contemporary term). Who were its promoters? People like Albert Augustus Pope, who built the Columbia Manufacturing Company in Hartford, Connecticut, and devoted much effort to promoting his brand and supporting the League of American Wheelmen as a lobby group. Enthusiasm for cycling was spurred by the well-to-do, who formed clubs in major cities whose members sported their own badges and outfits and gathered in places like New York’s Michaux Cycle Club, which even had its own indoor ring for morning riding lessons and afternoon “dances” where pedalers circled to the music of a live orchestra. As the price of a cycle came down, the middle class could buy their own wheels and form their own associations.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.594
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.249
Teacher spread0.214 · 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
GenreReview

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
Published2016
Admission routes2
Has abstractyes

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