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Record W327572783

From Drunken Drivers to Prostitutes and Shoplifters: The Onset of the Great Depression and Shifting Police Priorities in Grand Rapids, Michigan, 1928-1934

2010· article· en· W327572783 on OpenAlexaboutno aff
Sarah J. Sweers

Bibliographic record

VenueScholarWorks - GVSU (Grand Valley State University) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)Great DepressionCriminologyPolitical sciencePsychologyLawEconomicsKeynesian economics
DOInot available

Abstract

fetched live from OpenAlex

Sweers 1Afflicted with a blunt headache, clouded memory, and a stiff back from a night spent in police custody, a bright bulb sparked in the eyes of a man arrested for drunken driving, cruelly reminding him of his recent indiscretion.He ascended the stairs, no doubt aiding by an officer or two, from one of the two cells located in the basement of the four-storied police headquarters.As a crowning glory of administration success, the headquarters was built in 1892, on Crescent at Ottawa in the Northwest side of downtown Grand Rapids, Michigan.It was the eighteenth of November, 1928, a Sunday, the morning after a Saturday night/early Sunday morning arrest in which he made the cut as one of the most dangerous catches from the three precincts, someone that needed to be booked and recorded for the sake of posterity.A middle-aged and slightly plump, white man peers back from the shot, clad in a rumpled suit, a mussed collar and his tie askew.His tensed jaw and apprehension conspicuously stared past the camera.The picture was taken, developed on site, and carefully pasted into a large sixteen by sixteen inch mug book, tautly bound by two, hefty iron bolts.The clerk or officer with exacting handwriting recorded the offender's name, the date of arrest, offense, age, their basic physical characteristics, marital status, birthplace, descent, arresting officer, their residence, and any identifying scars or markings.A small space remained for their still to be determined sentence.1 But the story does not end here.This would be a rather mundane tale if this experience was this man's alone, but for our purposes it is not.On the night he was arrested, two men joined him, both charged with the same offense.In the previous three weeks the Grand Rapids Police Department arrested and booked fifteen men, thirteen of them for drunken driving.The next three weeks would look largely the same.1928 ended with another trio of men booked on the thirtieth of December, and the New Year was ushered in with another drunken driving arrest,

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.689

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.008
GPT teacher head0.229
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2010
Admission routes1
Has abstractyes

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