MétaCan
Menu
Back to cohort
Record W4415274017 · doi:10.1017/s096392682510045x

Cocaine Alley queens: gender, race and drug use in American Midwestern cities, 1890–1920

2025· article· en· W4415274017 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueUrban History · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsUniversity of Toronto
FundersBall State University
KeywordsNewspaperRace (biology)White (mutation)RecreationRecreational drug useStereotype (UML)Ethnic groupAlley

Abstract

fetched live from OpenAlex

Abstract From the 1890s to the 1920s across the American Midwest, newspapers reported arrests and altercations in ‘Cocaine Alleys’. Not all of these arrests involved people under the influence of drugs, but the term nevertheless became a non-geographic cultural construct highlighting readers’ fears about racialized drug use. By describing low-income Black women as ‘queens’ central to these spaces, newspapers mingled gender, race, criminality and drug use. The ‘Cocaine Alley Queen’ stereotype applied to Black women obscured the reality of White women’s greater propensity to recreational and medical narcotic addiction. As Black migrants moved from Southern states to Northern Midwestern industrialized cities, this reporting trend appeared in cities with higher Black populations than the state average. Newspapers created an intersectional, geographic identity that collected fears and stereotypes about drug use and Black communities when narcotics were accessible, and reformers sought to discipline Black, urban, female working-class bodies and impose middle-class behaviours on them.

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.

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)
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 score0.105
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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.017
GPT teacher head0.197
Teacher spread0.180 · 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