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Milwaukee

2023· reference-entry· en· W4386040313 on OpenAlexaboutno aff
Amanda I. Seligman

Bibliographic record

VenueOxford Research Encyclopedia of American History · 2023
Typereference-entry
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousImmigrationGeographyShorePopulationArchaeologyIndustrial citySpanish Civil WarWorld War IIEconomic historyHistoryDemographyOceanographyEconomic geographyGeologySociology

Abstract

fetched live from OpenAlex

Abstract Milwaukee means “the good land” in Anishinaabemowin, the language group of the Indigenous people who have lived in the region since the 17th century. Milwaukee is nestled between a subcontinental divide and the western shoreline of Lake Michigan. Some 10,000 years ago, the retreating Wisconsin glacier shaped the region’s topography: at sea level and relatively flat near Lake Michigan and rolling hills in the Kettle Moraine area north and west of the city’s site. The Milwaukee, Kinnickinnic, and Menomonee rivers converge in the city. The water made the land fertile and defined its promise as a transportation hub. Milwaukee grew from this rich potential into the largest and most diverse city in Wisconsin. During the 19th century, it transformed from a collection of Indigenous villages with a Metis trading post into an industrial powerhouse specialized in heavy manufacturing and brewing. European immigrants (especially from Germany and Poland) and migrants from the eastern United States staffed Milwaukee’s businesses and settled the region with farming hamlets and suburban municipalities. By the early 20th century, Milwaukee consistently ranked among the top twenty US cities by population. But because the city’s area was so compact, it was also one of the most densely populated. For half of the 20th century, Socialists governed Milwaukee. Unusually among Midwestern cities, Milwaukee’s Socialists waged a campaign to annex surrounding areas, leading to a wave of defensive suburban incorporations after World War II. In the second half of the 20th century, the third wave of the Great Migration brought large numbers of African Americans to Milwaukee’s North Side, and Mexican Americans settled permanently on the South Side. At the same time, the city and its industrial suburbs began to shed manufacturing jobs and decreased the white population. Although the suburbs maintained separate governance, Milwaukee and its surrounding counties (Ozaukee, Washington, and Waukesha) grew into an interconnected metropolitan whole. In the 21st century, the city’s population stabilized at a bit under 600,000 residents, and local government spearheaded downtown revitalization efforts. Approximately one million people lived in the surrounding counties.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.455
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.017
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.083
GPT teacher head0.377
Teacher spread0.293 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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