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Sister Gertrude Morgan

2018· book-chapter· en· W2973236743 on OpenAlexaboutno aff
Jason Berry

Bibliographic record

VenueUniversity of North Carolina Press eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsJazzSisterPaintingArtEstateArt historyPerformance artQuarter (Canadian coin)GuitarFaithRevelationClubVisual artsHistoryLawLiteraturePolitical scienceManagementTheology

Abstract

fetched live from OpenAlex

By the 1930s, civic leaders were promoting New Orleans as a tourist destination while the city lurched toward bankruptcy. As the city continued to develop through the 20th century, it became a melting pot of diverse cultures and a mecca for bohemians and LGBTQ people. Gay bars prospered in the French Quarter, and jazz clubs hired integrated bands. Sister Gertrude Morgan was a self-appointed missionary and preacher, Bride of Christ, artist, musician, poet, and writer of profound religious faith. After a revelation in 1934, she decided to travel to New Orleans to evangelize. In the late 1950s, she began singing on French Quarter corners, playing the guitar and tambourine, and selling her paintings. Her work caught the attention of art dealer Larry Borenstein, who helped launch her career as an artist. Borenstein came from a family of Russian Jews in Milwaukee. He worked in a wide variety of jobs in his youth, eventually settling in New Orleans and expanding into real estate and art dealership. He made friends with members of the gay community, artists, and musicians, and helped found the Preservation Hall jazz club.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.123
Threshold uncertainty score0.411

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.1230.038

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 head0.026
GPT teacher head0.223
Teacher spread0.196 · 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
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
Published2018
Admission routes1
Has abstractyes

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