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Record W6996232362

Research Bibliography for Students in History 450: A list of primary and secondary sources related to the first official United States weather forecast, issued on November 8, 1870

2020· article· en· W6996232362 on OpenAlexaboutno aff

Bibliographic record

VenueUWM Digital Commons (University of Wisconsin–Milwaukee) · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)IndigenousSettlement (finance)IndustrialisationGovernment (linguistics)Service (business)Human settlementProfessionalizationAgriculture
DOInot available

Abstract

fetched live from OpenAlex

The first official weather forecast in US history was delivered by the efforts of Increase Lapham and his colleagues at Milwaukee on November 8, 1870. At the time, Lapham was in Chicago working for what became the National Weather Service. The report concerned weather conditions on the Great Lakes as they pertained to Great Lakes shipping. This report marked the beginning of the National Weather Service and is thus significant for the history of American meteorology. This event occurred in the context of the massive post-Civil War economic boom, which led to the industrialization of the United States, a great increase in population, immigration, commerce, the specialization and professionalization of many scientific fields, the founding and funding of many American universities, and the emergence of an urban, college-trained professional class. In the same period, the various federal “homestead” acts and the agricultural bent of the new “land-grant” universities sought to transform as many Americans as possible into farmers and to apply scientific professionalism to farming. Some citizens embraced the new professionalism and science, hailing it as progress and viewing it with boundless optimism, while others resisted.\nMilwaukee began as a Native American village, called Minowaki (“Good Land” or “Good Country” in Ojibwe because of its rich soil and because the climate near the Lake Michigan offered more frost-free days for the Indigenous people to grow corn and other crops. Starting in the 1780s, Milwaukee became a fur-trade community dominated by the Métis, a people of mixed European and Indigenous heritage, and then an American settlement from the mid-1830s onward. By 1870 many Indigenous people remained in Milwaukee, many having returned despite being forcibly subjected to earlier processes of “removal” by the U.S. government. Many were allowed to remain on their lands, particularly if they were Christian and of mixed ancestry. A small free black population established itself, helped along by strong anti-slavery attitudes among Milwaukee’s elite, many of whom were Yankee-Yorkers. Farm women and other American women began to agitate for greater opportunities inside and outside the home, and Wisconsin experienced economic fluctuations as the state shifted from producing grain to producing dairy.\nThe “Storm Signal Station,” as it was called in 1870, was an attempt to use a new technology to deal with an old problem, the frequency of November Great Lakes storms. The immediate impulse for its creation was the terrible storms of November 1869, in which a record number of ships and their cargoes were lost.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.025
GPT teacher head0.225
Teacher spread0.201 · 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
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
Published2020
Admission routes1
Has abstractyes

Explore more

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